{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}\\micro.intra\projekt\P0846$\P0846_Gem\carmagn\Coworker Peer effects in Voting\Accepted\Stata output/log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}12 Nov 2025, 08:44:58

{com}. do "\\micro.intra\projekt\P0846$\P0846_Gem\carmagn\Coworker Peer effects in Voting\Accepted\replication_admin.do"
{txt}
{com}. *THIS DO-FILE REPRODUCES ALL ADMIN DATA RESULTS REPORTED IN CARLSSON & FINSERAAS (2025) "WORKPLACE PEER EFFECTS IN TURNOUT", JOP
. *SEE README FILE FOR INFORMATION ON DATA ACCESS
. *TO RUN THE DO FILE YOU NEED TO INSTALL THE PACKAGES reghdfe, ivreg2, coefplot, binscatter, binscatter2, gtools USING THE STATA COMMAND ssc install
. 
. ********************************************************************
. *** Program defining global macros and creating covariates *********
. ********************************************************************
. capture program drop setup_macros_covariates
{txt}
{com}. program setup_macros_covariates 
{txt}  1{com}. 
.         *** Global macros for covariates ***
.         global Other_X2 "IndexWorkerVoted2010 IndexWorkerVoted2010Miss  i.WP_HPG_type"
{txt}  2{com}.         global Other_X "Relative_Voted2010 IndexWorkerVoted2010 IndexWorkerVoted2010Miss  i.WP_HPG_type"
{txt}  3{com}. 
.         * Relatives of workplace peers
.         global WP_Relative_X "WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married WP_Relative_NumberOfChildren WP_Relative_Employed"
{txt}  4{com}. 
.         * Differece between relatives and index worker
.         capture drop diffIndexRel_*
{txt}  5{com}.         gen diffIndexRel_Age2010 = Age2010 - WP_Relative_Age2010
{txt}  6{com}.         gen diffIndexRel_Income = Income - WP_Relative_Income
{txt}  7{com}.         gen diffIndexRel_Married = Married - WP_Relative_Married
{txt}  8{com}.         gen diffIndexRel_NumChild = NumberOfChildren - WP_Relative_NumberOfChildren
{txt}  9{com}.         global DiffIndexRel "diffIndexRel_Age2010 diffIndexRel_Income diffIndexRel_Married diffIndexRel_NumChild"
{txt} 10{com}. 
.         * Interactions between WP_HPG_type and Relatives of workplace peers
.         capture drop WP_HPG_type_*  WP_HPG_Edu_*
{txt} 11{com}.         tab WP_HPG_type, gen(WP_HPG_type_)
{txt} 12{com}.         forvalues var_num = 1(1)40  {c -(}
{txt} 13{com}.          gen WP_HPG_Edu_`var_num'_2 = WP_HPG_type_`var_num' * WP_Relative_EduHighSchool
{txt} 14{com}.          gen WP_HPG_Edu_`var_num'_3 = WP_HPG_type_`var_num' * WP_Relative_EduCollege
{txt} 15{com}.          gen WP_HPG_Edu_`var_num'_4 = WP_HPG_type_`var_num' * WP_Relative_EduMiss
{txt} 16{com}.         {c )-}
{txt} 17{com}.         ds WP_HPG_Edu*
{txt} 18{com}.         global WP_HPG_type_Edu "WP_HPG_Edu_1_2 WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4 WP_HPG_Edu_3_2 WP_HPG_Edu_3_4  WP_HPG_Edu_4_2 WP_HPG_Edu_4_4 WP_HPG_Edu_5_2   WP_HPG_Edu_5_4 WP_HPG_Edu_6_2 WP_HPG_Edu_6_4  WP_HPG_Edu_7_2 WP_HPG_Edu_7_4 WP_HPG_Edu_8_2  WP_HPG_Edu_8_4 WP_HPG_Edu_9_2 WP_HPG_Edu_9_4  WP_HPG_Edu_10_2 WP_HPG_Edu_10_4 WP_HPG_Edu_11_2  WP_HPG_Edu_11_4 WP_HPG_Edu_12_2 WP_HPG_Edu_12_4   WP_HPG_Edu_13_2 WP_HPG_Edu_13_4 WP_HPG_Edu_14_2  WP_HPG_Edu_14_4 WP_HPG_Edu_15_2 WP_HPG_Edu_15_4  WP_HPG_Edu_16_2 WP_HPG_Edu_16_4 WP_HPG_Edu_17_2   WP_HPG_Edu_17_4 WP_HPG_Edu_18_2 WP_HPG_Edu_18_4   WP_HPG_Edu_19_2 WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4"  
{txt} 19{com}.                       
. 
. 
.         * Region 
.         global FE "elec_district2018" 
{txt} 20{com}. 
.         * Firm and HWP level
.         capture drop SSNI_Section*
{txt} 21{com}.         capture tab SNI_Section, gen(SSNI_Section)
{txt} 22{com}.         global FIRM_X "Org_* Ftg_*"
{txt} 23{com}.         global WP_X "WP_Age2010 WP_Income WP_NumberOfChildren WP_Married WP_NumWorkers"
{txt} 24{com}. 
.         * Sample restriction
.         global insample "if WP_NumWorkers <= 50"
{txt} 25{com}.         * IV main controls
.         global main_controls $Other_X $WP_HPG_type_Edu $WP_Relative_X $DiffIndexRel Voted2018
{txt} 26{com}.         * OLS main controls
.         global OLS_main_controls $Other_X2 $WP_HPG_type_Edu $WP_Relative_X $DiffIndexRel Voted2018
{txt} 27{com}.         
.         capture gen Age2010_2 = Age2010 * Age2010
{txt} 28{com}. 
. end
{txt}
{com}. 
. *************************************************************************
. *** TABLE 1: Main analysis ***
. *************************************************************************
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
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{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. * OLS
. reghdfe Voted2022 WP_Voted2018 $OLS_main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  92{txt},{res} 298639{txt}){col 67}= {res}   1294.67
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2415
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2386
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2271
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.2205

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0286444{col 39}{space 2} .0017811{col 50}{space 1}   16.08{col 59}{space 3}0.000{col 67}{space 4} .0251535{col 80}{space 3} .0321353
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1248401{col 39}{space 2} .0010687{col 50}{space 1}  116.81{col 59}{space 3}0.000{col 67}{space 4} .1227454{col 80}{space 3} .1269348
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1043768{col 39}{space 2} .0012893{col 50}{space 1}   80.96{col 59}{space 3}0.000{col 67}{space 4} .1018498{col 80}{space 3} .1069037
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .2303714{col 39}{space 2}  .112046{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0107643{col 80}{space 3} .4499784
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2264173{col 39}{space 2} .1120952{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0067139{col 80}{space 3} .4461207
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2209261{col 39}{space 2} .1120183{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0013733{col 80}{space 3} .4404788
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1903866{col 39}{space 2} .1121994{col 50}{space 1}    1.70{col 59}{space 3}0.090{col 67}{space 4}-.0295212{col 80}{space 3} .4102943
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2029307{col 39}{space 2} .1120545{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0166929{col 80}{space 3} .4225543
{txt}{space 23}7  {c |}{col 27}{res}{space 2}  .165989{col 39}{space 2} .1129907{col 50}{space 1}    1.47{col 59}{space 3}0.142{col 67}{space 4}-.0554695{col 80}{space 3} .3874476
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2108923{col 39}{space 2} .1120273{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0086781{col 80}{space 3} .4304627
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2091599{col 39}{space 2}  .112089{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0105314{col 80}{space 3} .4288512
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1741871{col 39}{space 2} .1124733{col 50}{space 1}    1.55{col 59}{space 3}0.121{col 67}{space 4}-.0462574{col 80}{space 3} .3946317
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3686964{col 39}{space 2} .1535053{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0678303{col 80}{space 3} .6695624
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2297553{col 39}{space 2} .1122247{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4} .0097981{col 80}{space 3} .4497125
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2359151{col 39}{space 2}  .112135{col 50}{space 1}    2.10{col 59}{space 3}0.035{col 67}{space 4} .0161337{col 80}{space 3} .4556966
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2312358{col 39}{space 2} .1120505{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0116199{col 80}{space 3} .4508517
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2231797{col 39}{space 2} .1120358{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0035928{col 80}{space 3} .4427667
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2068149{col 39}{space 2}  .112004{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0127098{col 80}{space 3} .4263396
{txt}{space 22}17  {c |}{col 27}{res}{space 2}   .20828{col 39}{space 2} .1145625{col 50}{space 1}    1.82{col 59}{space 3}0.069{col 67}{space 4}-.0162592{col 80}{space 3} .4328192
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .2032751{col 39}{space 2} .1130039{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0182093{col 80}{space 3} .4247595
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2056697{col 39}{space 2} .1126779{col 50}{space 1}    1.83{col 59}{space 3}0.068{col 67}{space 4}-.0151758{col 80}{space 3} .4265152
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1852949{col 39}{space 2} .1122872{col 50}{space 1}    1.65{col 59}{space 3}0.099{col 67}{space 4}-.0347849{col 80}{space 3} .4053747
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2302334{col 39}{space 2}  .112604{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0095328{col 80}{space 3} .4509341
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{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2437516{col 39}{space 2} .1125222{col 50}{space 1}    2.17{col 59}{space 3}0.030{col 67}{space 4} .0232112{col 80}{space 3}  .464292
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{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2329575{col 39}{space 2} .1119641{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4}  .013511{col 80}{space 3} .4524039
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{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2299872{col 39}{space 2} .1120826{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0103084{col 80}{space 3}  .449666
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2365979{col 39}{space 2} .1121173{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0168511{col 80}{space 3} .4563448
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3214317{col 39}{space 2} .1373301{col 50}{space 1}    2.34{col 59}{space 3}0.019{col 67}{space 4} .0522685{col 80}{space 3} .5905948
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.352078{col 39}{space 2} 1.372815{col 50}{space 1}   -1.71{col 59}{space 3}0.087{col 67}{space 4}-5.042756{col 80}{space 3} .3386009
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0022664{col 39}{space 2} .0056813{col 50}{space 1}   -0.40{col 59}{space 3}0.690{col 67}{space 4}-.0134015{col 80}{space 3} .0088687
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0033839{col 39}{space 2} .0348806{col 50}{space 1}   -0.10{col 59}{space 3}0.923{col 67}{space 4}-.0717488{col 80}{space 3}  .064981
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0019618{col 39}{space 2} .0071873{col 50}{space 1}   -0.27{col 59}{space 3}0.785{col 67}{space 4}-.0160486{col 80}{space 3}  .012125
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0825186{col 39}{space 2} .0468587{col 50}{space 1}   -1.76{col 59}{space 3}0.078{col 67}{space 4}-.1743603{col 80}{space 3} .0093231
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0026047{col 39}{space 2} .0048465{col 50}{space 1}    0.54{col 59}{space 3}0.591{col 67}{space 4}-.0068943{col 80}{space 3} .0121037
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}  .015914{col 39}{space 2} .0258969{col 50}{space 1}    0.61{col 59}{space 3}0.539{col 67}{space 4}-.0348433{col 80}{space 3} .0666713
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0129203{col 39}{space 2} .0098762{col 50}{space 1}    1.31{col 59}{space 3}0.191{col 67}{space 4}-.0064366{col 80}{space 3} .0322773
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0331638{col 39}{space 2} .0447073{col 50}{space 1}    0.74{col 59}{space 3}0.458{col 67}{space 4}-.0544613{col 80}{space 3} .1207889
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0035184{col 39}{space 2} .0062581{col 50}{space 1}   -0.56{col 59}{space 3}0.574{col 67}{space 4}-.0157842{col 80}{space 3} .0087474
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0943339{col 39}{space 2} .0325526{col 50}{space 1}   -2.90{col 59}{space 3}0.004{col 67}{space 4} -.158136{col 80}{space 3}-.0305317
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0354543{col 39}{space 2} .0205624{col 50}{space 1}    1.72{col 59}{space 3}0.085{col 67}{space 4}-.0048474{col 80}{space 3} .0757561
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1654131{col 39}{space 2} .1428328{col 50}{space 1}   -1.16{col 59}{space 3}0.247{col 67}{space 4}-.4453614{col 80}{space 3} .1145351
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0006421{col 39}{space 2} .0054039{col 50}{space 1}    0.12{col 59}{space 3}0.905{col 67}{space 4}-.0099495{col 80}{space 3} .0112336
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}  -.03805{col 39}{space 2} .0303879{col 50}{space 1}   -1.25{col 59}{space 3}0.211{col 67}{space 4}-.0976095{col 80}{space 3} .0215095
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}  .001948{col 39}{space 2} .0075335{col 50}{space 1}    0.26{col 59}{space 3}0.796{col 67}{space 4}-.0128174{col 80}{space 3} .0167134
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0179149{col 39}{space 2} .0407816{col 50}{space 1}   -0.44{col 59}{space 3}0.660{col 67}{space 4}-.0978457{col 80}{space 3} .0620159
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0018053{col 39}{space 2} .0145368{col 50}{space 1}    0.12{col 59}{space 3}0.901{col 67}{space 4}-.0266864{col 80}{space 3} .0302969
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}  -.03611{col 39}{space 2} .0872184{col 50}{space 1}   -0.41{col 59}{space 3}0.679{col 67}{space 4}-.2070556{col 80}{space 3} .1348355
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1218153{col 39}{space 2} .1259566{col 50}{space 1}   -0.97{col 59}{space 3}0.333{col 67}{space 4}-.3686867{col 80}{space 3}  .125056
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0733676{col 39}{space 2} .2208238{col 50}{space 1}    0.33{col 59}{space 3}0.740{col 67}{space 4}-.3594407{col 80}{space 3}  .506176
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0005755{col 39}{space 2} .0099197{col 50}{space 1}   -0.06{col 59}{space 3}0.954{col 67}{space 4}-.0200179{col 80}{space 3} .0188668
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0199771{col 39}{space 2} .1178406{col 50}{space 1}   -0.17{col 59}{space 3}0.865{col 67}{space 4}-.2509414{col 80}{space 3} .2109871
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0078587{col 39}{space 2} .0080078{col 50}{space 1}   -0.98{col 59}{space 3}0.326{col 67}{space 4}-.0235538{col 80}{space 3} .0078364
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0331703{col 39}{space 2} .0305996{col 50}{space 1}    1.08{col 59}{space 3}0.278{col 67}{space 4}-.0268041{col 80}{space 3} .0931446
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0034939{col 39}{space 2} .0057727{col 50}{space 1}   -0.61{col 59}{space 3}0.545{col 67}{space 4}-.0148082{col 80}{space 3} .0078203
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0027458{col 39}{space 2} .0371297{col 50}{space 1}   -0.07{col 59}{space 3}0.941{col 67}{space 4}-.0755189{col 80}{space 3} .0700273
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0040613{col 39}{space 2} .0053614{col 50}{space 1}    0.76{col 59}{space 3}0.449{col 67}{space 4}-.0064468{col 80}{space 3} .0145694
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0048834{col 39}{space 2} .0309761{col 50}{space 1}    0.16{col 59}{space 3}0.875{col 67}{space 4}-.0558289{col 80}{space 3} .0655956
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0073718{col 39}{space 2} .0042647{col 50}{space 1}    1.73{col 59}{space 3}0.084{col 67}{space 4} -.000987{col 80}{space 3} .0157306
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0180495{col 39}{space 2} .0232387{col 50}{space 1}    0.78{col 59}{space 3}0.437{col 67}{space 4}-.0274976{col 80}{space 3} .0635967
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0006853{col 39}{space 2} .0308751{col 50}{space 1}    0.02{col 59}{space 3}0.982{col 67}{space 4}-.0598289{col 80}{space 3} .0611996
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1396999{col 39}{space 2}  .061774{col 50}{space 1}    2.26{col 59}{space 3}0.024{col 67}{space 4} .0186246{col 80}{space 3} .2607752
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0129079{col 39}{space 2}  .020017{col 50}{space 1}    0.64{col 59}{space 3}0.519{col 67}{space 4}-.0263248{col 80}{space 3} .0521407
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1067995{col 39}{space 2} .0901322{col 50}{space 1}    1.18{col 59}{space 3}0.236{col 67}{space 4}-.0698571{col 80}{space 3} .2834562
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0147486{col 39}{space 2} .0169863{col 50}{space 1}    0.87{col 59}{space 3}0.385{col 67}{space 4} -.018544{col 80}{space 3} .0480412
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0495551{col 39}{space 2} .1011023{col 50}{space 1}   -0.49{col 59}{space 3}0.624{col 67}{space 4}-.2477129{col 80}{space 3} .1486026
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0181029{col 39}{space 2} .0111829{col 50}{space 1}    1.62{col 59}{space 3}0.105{col 67}{space 4}-.0038153{col 80}{space 3} .0400211
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0182865{col 39}{space 2} .0571006{col 50}{space 1}   -0.32{col 59}{space 3}0.749{col 67}{space 4}-.1302021{col 80}{space 3}  .093629
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000424{col 39}{space 2} .0000407{col 50}{space 1}    1.04{col 59}{space 3}0.298{col 67}{space 4}-.0000374{col 80}{space 3} .0001222
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.80e-07{col 39}{space 2} 2.76e-07{col 50}{space 1}    3.19{col 59}{space 3}0.001{col 67}{space 4} 3.39e-07{col 80}{space 3} 1.42e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2}  .015056{col 39}{space 2} .0011905{col 50}{space 1}   12.65{col 59}{space 3}0.000{col 67}{space 4} .0127227{col 80}{space 3} .0173893
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0001395{col 39}{space 2} .0005137{col 50}{space 1}    0.27{col 59}{space 3}0.786{col 67}{space 4}-.0008673{col 80}{space 3} .0011462
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0128767{col 39}{space 2} .0014845{col 50}{space 1}    8.67{col 59}{space 3}0.000{col 67}{space 4} .0099672{col 80}{space 3} .0157863
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000648{col 39}{space 2} .0000197{col 50}{space 1}   -3.29{col 59}{space 3}0.001{col 67}{space 4}-.0001035{col 80}{space 3}-.0000262
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.67e-06{col 39}{space 2} 1.79e-07{col 50}{space 1}    9.30{col 59}{space 3}0.000{col 67}{space 4} 1.32e-06{col 80}{space 3} 2.02e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0117819{col 39}{space 2} .0003787{col 50}{space 1}   31.11{col 59}{space 3}0.000{col 67}{space 4} .0110396{col 80}{space 3} .0125241
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010704{col 39}{space 2} .0001879{col 50}{space 1}    5.70{col 59}{space 3}0.000{col 67}{space 4} .0007022{col 80}{space 3} .0014386
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4190271{col 39}{space 2} .0016809{col 50}{space 1}  249.28{col 59}{space 3}0.000{col 67}{space 4} .4157326{col 80}{space 3} .4223217
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1564997{col 39}{space 2} .1119849{col 50}{space 1}    1.40{col 59}{space 3}0.162{col 67}{space 4}-.0629875{col 80}{space 3} .3759869
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. *first stage
. reghdfe WP_Voted2018 WP_Relative_Voted2010 $main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 298639{txt}){col 67}= {res}    478.46
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1142
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1108
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0939
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.1285

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .1082658{col 39}{space 2} .0020865{col 50}{space 1}   51.89{col 59}{space 3}0.000{col 67}{space 4} .1041764{col 80}{space 3} .1123553
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0049641{col 39}{space 2}  .000577{col 50}{space 1}    8.60{col 59}{space 3}0.000{col 67}{space 4} .0038332{col 80}{space 3} .0060949
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0062179{col 39}{space 2}  .000467{col 50}{space 1}   13.31{col 59}{space 3}0.000{col 67}{space 4} .0053025{col 80}{space 3} .0071332
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .002031{col 39}{space 2} .0006416{col 50}{space 1}    3.17{col 59}{space 3}0.002{col 67}{space 4} .0007733{col 80}{space 3} .0032886
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .0872641{col 39}{space 2} .0829293{col 50}{space 1}    1.05{col 59}{space 3}0.293{col 67}{space 4} -.075275{col 80}{space 3} .2498031
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .0771673{col 39}{space 2} .0829932{col 50}{space 1}    0.93{col 59}{space 3}0.352{col 67}{space 4}-.0854969{col 80}{space 3} .2398316
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .0699682{col 39}{space 2} .0828792{col 50}{space 1}    0.84{col 59}{space 3}0.399{col 67}{space 4}-.0924728{col 80}{space 3} .2324092
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0013559{col 39}{space 2} .0831927{col 50}{space 1}    0.02{col 59}{space 3}0.987{col 67}{space 4}-.1616995{col 80}{space 3} .1644113
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0027373{col 39}{space 2} .0829457{col 50}{space 1}   -0.03{col 59}{space 3}0.974{col 67}{space 4}-.1653085{col 80}{space 3} .1598339
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0258031{col 39}{space 2} .0845424{col 50}{space 1}   -0.31{col 59}{space 3}0.760{col 67}{space 4}-.1915038{col 80}{space 3} .1398976
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0114568{col 39}{space 2} .0829229{col 50}{space 1}    0.14{col 59}{space 3}0.890{col 67}{space 4}-.1510697{col 80}{space 3} .1739833
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0087417{col 39}{space 2} .0830342{col 50}{space 1}   -0.11{col 59}{space 3}0.916{col 67}{space 4}-.1714865{col 80}{space 3}  .154003
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0638028{col 39}{space 2} .0836344{col 50}{space 1}   -0.76{col 59}{space 3}0.446{col 67}{space 4}-.2277238{col 80}{space 3} .1001183
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .0478022{col 39}{space 2} .1234255{col 50}{space 1}    0.39{col 59}{space 3}0.699{col 67}{space 4}-.1941083{col 80}{space 3} .2897127
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .0672263{col 39}{space 2} .0832779{col 50}{space 1}    0.81{col 59}{space 3}0.420{col 67}{space 4}-.0959961{col 80}{space 3} .2304486
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{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .1031857{col 39}{space 2} .1000064{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4} -.092824{col 80}{space 3} .2991955
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} .8401984{col 39}{space 2} .8715857{col 50}{space 1}    0.96{col 59}{space 3}0.335{col 67}{space 4} -.868085{col 80}{space 3} 2.548482
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0028425{col 39}{space 2}  .005906{col 50}{space 1}    0.48{col 59}{space 3}0.630{col 67}{space 4} -.008733{col 80}{space 3}  .014418
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0266131{col 39}{space 2} .0241114{col 50}{space 1}    1.10{col 59}{space 3}0.270{col 67}{space 4}-.0206446{col 80}{space 3} .0738708
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0046926{col 39}{space 2} .0072377{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0094932{col 80}{space 3} .0188783
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0720303{col 39}{space 2} .0281282{col 50}{space 1}    2.56{col 59}{space 3}0.010{col 67}{space 4} .0168998{col 80}{space 3} .1271608
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}  .003482{col 39}{space 2} .0047457{col 50}{space 1}    0.73{col 59}{space 3}0.463{col 67}{space 4}-.0058194{col 80}{space 3} .0127834
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0257328{col 39}{space 2} .0249339{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4} -.023137{col 80}{space 3} .0746025
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0336438{col 39}{space 2} .0106292{col 50}{space 1}    3.17{col 59}{space 3}0.002{col 67}{space 4} .0128108{col 80}{space 3} .0544767
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0294069{col 39}{space 2} .0604559{col 50}{space 1}   -0.49{col 59}{space 3}0.627{col 67}{space 4}-.1478987{col 80}{space 3}  .089085
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0414949{col 39}{space 2} .0064364{col 50}{space 1}    6.45{col 59}{space 3}0.000{col 67}{space 4} .0288797{col 80}{space 3}   .05411
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0275843{col 39}{space 2} .0312999{col 50}{space 1}    0.88{col 59}{space 3}0.378{col 67}{space 4}-.0337625{col 80}{space 3} .0889312
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0407568{col 39}{space 2} .0225064{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0033551{col 80}{space 3} .0848687
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0130177{col 39}{space 2} .1232037{col 50}{space 1}    0.11{col 59}{space 3}0.916{col 67}{space 4}-.2284581{col 80}{space 3} .2544936
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0267428{col 39}{space 2} .0061301{col 50}{space 1}    4.36{col 59}{space 3}0.000{col 67}{space 4} .0147279{col 80}{space 3} .0387576
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0794968{col 39}{space 2} .0375776{col 50}{space 1}   -2.12{col 59}{space 3}0.034{col 67}{space 4}-.1531479{col 80}{space 3}-.0058457
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0325595{col 39}{space 2} .0085717{col 50}{space 1}    3.80{col 59}{space 3}0.000{col 67}{space 4} .0157591{col 80}{space 3} .0493598
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0049057{col 39}{space 2} .0447412{col 50}{space 1}    0.11{col 59}{space 3}0.913{col 67}{space 4}-.0827858{col 80}{space 3} .0925973
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0510894{col 39}{space 2}  .015661{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .0203943{col 80}{space 3} .0817845
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1675528{col 39}{space 2} .0881915{col 50}{space 1}   -1.90{col 59}{space 3}0.057{col 67}{space 4}-.3404058{col 80}{space 3} .0053001
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0619547{col 39}{space 2} .1025894{col 50}{space 1}    0.60{col 59}{space 3}0.546{col 67}{space 4}-.1391176{col 80}{space 3} .2630271
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .5648357{col 39}{space 2} .2013003{col 50}{space 1}    2.81{col 59}{space 3}0.005{col 67}{space 4} .1702927{col 80}{space 3} .9593787
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0281395{col 39}{space 2} .0108495{col 50}{space 1}    2.59{col 59}{space 3}0.009{col 67}{space 4} .0068748{col 80}{space 3} .0494043
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} .1235135{col 39}{space 2}  .040845{col 50}{space 1}    3.02{col 59}{space 3}0.002{col 67}{space 4} .0434585{col 80}{space 3} .2035686
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0124586{col 39}{space 2} .0070957{col 50}{space 1}    1.76{col 59}{space 3}0.079{col 67}{space 4}-.0014487{col 80}{space 3} .0263659
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0972881{col 39}{space 2} .0266863{col 50}{space 1}    3.65{col 59}{space 3}0.000{col 67}{space 4} .0449838{col 80}{space 3} .1495924
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0108293{col 39}{space 2} .0058187{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0005752{col 80}{space 3} .0222338
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}  .055112{col 39}{space 2} .0408811{col 50}{space 1}    1.35{col 59}{space 3}0.178{col 67}{space 4}-.0250138{col 80}{space 3} .1352379
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0157304{col 39}{space 2} .0053266{col 50}{space 1}    2.95{col 59}{space 3}0.003{col 67}{space 4} .0052905{col 80}{space 3} .0261703
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}  .101029{col 39}{space 2} .0222384{col 50}{space 1}    4.54{col 59}{space 3}0.000{col 67}{space 4} .0574423{col 80}{space 3} .1446156
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0307335{col 39}{space 2}  .004241{col 50}{space 1}    7.25{col 59}{space 3}0.000{col 67}{space 4} .0224213{col 80}{space 3} .0390458
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0048759{col 39}{space 2} .0247117{col 50}{space 1}    0.20{col 59}{space 3}0.844{col 67}{space 4}-.0435584{col 80}{space 3} .0533101
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0957621{col 39}{space 2} .0360077{col 50}{space 1}    2.66{col 59}{space 3}0.008{col 67}{space 4} .0251881{col 80}{space 3} .1663361
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .0554523{col 39}{space 2} .1801175{col 50}{space 1}    0.31{col 59}{space 3}0.758{col 67}{space 4} -.297573{col 80}{space 3} .4084775
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0146304{col 39}{space 2} .0204553{col 50}{space 1}    0.72{col 59}{space 3}0.474{col 67}{space 4}-.0254613{col 80}{space 3} .0547222
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0848062{col 39}{space 2} .1168614{col 50}{space 1}    0.73{col 59}{space 3}0.468{col 67}{space 4}-.1442388{col 80}{space 3} .3138512
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0171083{col 39}{space 2} .0173783{col 50}{space 1}   -0.98{col 59}{space 3}0.325{col 67}{space 4}-.0511692{col 80}{space 3} .0169527
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0577024{col 39}{space 2} .1018446{col 50}{space 1}   -0.57{col 59}{space 3}0.571{col 67}{space 4}-.2573149{col 80}{space 3} .1419101
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0503035{col 39}{space 2} .0119564{col 50}{space 1}    4.21{col 59}{space 3}0.000{col 67}{space 4} .0268693{col 80}{space 3} .0737377
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0511095{col 39}{space 2} .0730999{col 50}{space 1}   -0.70{col 59}{space 3}0.484{col 67}{space 4}-.1943833{col 80}{space 3} .0921643
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0005932{col 39}{space 2} .0000382{col 50}{space 1}   15.54{col 59}{space 3}0.000{col 67}{space 4} .0005184{col 80}{space 3}  .000668
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.19e-06{col 39}{space 2} 2.17e-07{col 50}{space 1}    5.50{col 59}{space 3}0.000{col 67}{space 4} 7.68e-07{col 80}{space 3} 1.62e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0074129{col 39}{space 2} .0011498{col 50}{space 1}    6.45{col 59}{space 3}0.000{col 67}{space 4} .0051593{col 80}{space 3} .0096664
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0043303{col 39}{space 2} .0004823{col 50}{space 1}   -8.98{col 59}{space 3}0.000{col 67}{space 4}-.0052757{col 80}{space 3} -.003385
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} -.002176{col 39}{space 2} .0014898{col 50}{space 1}   -1.46{col 59}{space 3}0.144{col 67}{space 4} -.005096{col 80}{space 3}  .000744
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0001669{col 39}{space 2} .0000128{col 50}{space 1}   13.04{col 59}{space 3}0.000{col 67}{space 4} .0001418{col 80}{space 3}  .000192
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 9.23e-07{col 39}{space 2} 9.96e-08{col 50}{space 1}    9.27{col 59}{space 3}0.000{col 67}{space 4} 7.28e-07{col 80}{space 3} 1.12e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0023414{col 39}{space 2}  .000238{col 50}{space 1}    9.84{col 59}{space 3}0.000{col 67}{space 4}  .001875{col 80}{space 3} .0028079
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0001609{col 39}{space 2} .0001112{col 50}{space 1}    1.45{col 59}{space 3}0.148{col 67}{space 4}-.0000571{col 80}{space 3} .0003789
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0147755{col 39}{space 2} .0008716{col 50}{space 1}   16.95{col 59}{space 3}0.000{col 67}{space 4} .0130671{col 80}{space 3} .0164838
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7299819{col 39}{space 2} .0828333{col 50}{space 1}    8.81{col 59}{space 3}0.000{col 67}{space 4} .5676309{col 80}{space 3}  .892333
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. *reduced form
. reghdfe Voted2022 WP_Relative_Voted2010 $main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 298639{txt}){col 67}= {res}   1290.05
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2421
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2392
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2277
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.2204

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0087012{col 39}{space 2} .0017945{col 50}{space 1}    4.85{col 59}{space 3}0.000{col 67}{space 4}  .005184{col 80}{space 3} .0122184
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0358181{col 39}{space 2} .0010721{col 50}{space 1}   33.41{col 59}{space 3}0.000{col 67}{space 4} .0337167{col 80}{space 3} .0379194
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2}  .122991{col 39}{space 2} .0010691{col 50}{space 1}  115.05{col 59}{space 3}0.000{col 67}{space 4} .1208957{col 80}{space 3} .1250864
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1027793{col 39}{space 2} .0012895{col 50}{space 1}   79.70{col 59}{space 3}0.000{col 67}{space 4} .1002519{col 80}{space 3} .1053067
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
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{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .226269{col 39}{space 2} .1098064{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0110516{col 80}{space 3} .4414864
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{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  .322347{col 39}{space 2} .1347368{col 50}{space 1}    2.39{col 59}{space 3}0.017{col 67}{space 4} .0582667{col 80}{space 3} .5864274
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{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0026991{col 39}{space 2} .0056666{col 50}{space 1}   -0.48{col 59}{space 3}0.634{col 67}{space 4}-.0138055{col 80}{space 3} .0084073
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0013845{col 39}{space 2} .0353037{col 50}{space 1}   -0.04{col 59}{space 3}0.969{col 67}{space 4}-.0705788{col 80}{space 3} .0678097
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0020992{col 39}{space 2} .0071919{col 50}{space 1}   -0.29{col 59}{space 3}0.770{col 67}{space 4}-.0161952{col 80}{space 3} .0119968
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0789728{col 39}{space 2} .0468505{col 50}{space 1}   -1.69{col 59}{space 3}0.092{col 67}{space 4}-.1707983{col 80}{space 3} .0128528
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0023055{col 39}{space 2} .0048464{col 50}{space 1}    0.48{col 59}{space 3}0.634{col 67}{space 4}-.0071933{col 80}{space 3} .0118043
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0184074{col 39}{space 2} .0258024{col 50}{space 1}    0.71{col 59}{space 3}0.476{col 67}{space 4}-.0321646{col 80}{space 3} .0689793
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0141735{col 39}{space 2} .0099142{col 50}{space 1}    1.43{col 59}{space 3}0.153{col 67}{space 4} -.005258{col 80}{space 3}  .033605
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0362908{col 39}{space 2} .0445756{col 50}{space 1}    0.81{col 59}{space 3}0.416{col 67}{space 4} -.051076{col 80}{space 3} .1236577
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} -.002951{col 39}{space 2} .0062581{col 50}{space 1}   -0.47{col 59}{space 3}0.637{col 67}{space 4}-.0152167{col 80}{space 3} .0093147
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0912962{col 39}{space 2} .0325092{col 50}{space 1}   -2.81{col 59}{space 3}0.005{col 67}{space 4}-.1550132{col 80}{space 3}-.0275791
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0361978{col 39}{space 2} .0205257{col 50}{space 1}    1.76{col 59}{space 3}0.078{col 67}{space 4}-.0040319{col 80}{space 3} .0764276
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1674082{col 39}{space 2} .1418621{col 50}{space 1}   -1.18{col 59}{space 3}0.238{col 67}{space 4}-.4454539{col 80}{space 3} .1106375
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0008325{col 39}{space 2} .0054079{col 50}{space 1}    0.15{col 59}{space 3}0.878{col 67}{space 4}-.0097668{col 80}{space 3} .0114319
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0391759{col 39}{space 2} .0304053{col 50}{space 1}   -1.29{col 59}{space 3}0.198{col 67}{space 4}-.0987695{col 80}{space 3} .0204177
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0024094{col 39}{space 2} .0075443{col 50}{space 1}    0.32{col 59}{space 3}0.749{col 67}{space 4}-.0123773{col 80}{space 3} .0171961
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0188994{col 39}{space 2} .0408851{col 50}{space 1}   -0.46{col 59}{space 3}0.644{col 67}{space 4} -.099033{col 80}{space 3} .0612342
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0027535{col 39}{space 2} .0145603{col 50}{space 1}    0.19{col 59}{space 3}0.850{col 67}{space 4}-.0257842{col 80}{space 3} .0312912
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0382748{col 39}{space 2} .0864471{col 50}{space 1}   -0.44{col 59}{space 3}0.658{col 67}{space 4}-.2077087{col 80}{space 3}  .131159
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1279423{col 39}{space 2} .1259029{col 50}{space 1}   -1.02{col 59}{space 3}0.310{col 67}{space 4}-.3747085{col 80}{space 3} .1188239
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1544886{col 39}{space 2} .2235105{col 50}{space 1}    0.69{col 59}{space 3}0.489{col 67}{space 4}-.2835857{col 80}{space 3} .5925629
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0004595{col 39}{space 2} .0099473{col 50}{space 1}    0.05{col 59}{space 3}0.963{col 67}{space 4}-.0190369{col 80}{space 3}  .019956
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0113307{col 39}{space 2} .1143149{col 50}{space 1}   -0.10{col 59}{space 3}0.921{col 67}{space 4}-.2353846{col 80}{space 3} .2127233
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0076044{col 39}{space 2} .0080174{col 50}{space 1}   -0.95{col 59}{space 3}0.343{col 67}{space 4}-.0233182{col 80}{space 3} .0081095
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0348728{col 39}{space 2} .0305077{col 50}{space 1}    1.14{col 59}{space 3}0.253{col 67}{space 4}-.0249215{col 80}{space 3} .0946671
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0034592{col 39}{space 2} .0057629{col 50}{space 1}   -0.60{col 59}{space 3}0.548{col 67}{space 4}-.0147544{col 80}{space 3}  .007836
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0013339{col 39}{space 2} .0372675{col 50}{space 1}   -0.04{col 59}{space 3}0.971{col 67}{space 4}-.0743772{col 80}{space 3} .0717094
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0045243{col 39}{space 2} .0053576{col 50}{space 1}    0.84{col 59}{space 3}0.398{col 67}{space 4}-.0059765{col 80}{space 3}  .015025
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0106541{col 39}{space 2} .0307701{col 50}{space 1}    0.35{col 59}{space 3}0.729{col 67}{space 4}-.0496544{col 80}{space 3} .0709626
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}  .007861{col 39}{space 2}  .004267{col 50}{space 1}    1.84{col 59}{space 3}0.065{col 67}{space 4}-.0005021{col 80}{space 3} .0162242
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0203746{col 39}{space 2} .0232352{col 50}{space 1}    0.88{col 59}{space 3}0.381{col 67}{space 4}-.0251658{col 80}{space 3}  .065915
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0035165{col 39}{space 2} .0310209{col 50}{space 1}    0.11{col 59}{space 3}0.910{col 67}{space 4}-.0572837{col 80}{space 3} .0643166
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}  .141116{col 39}{space 2} .0621995{col 50}{space 1}    2.27{col 59}{space 3}0.023{col 67}{space 4} .0192067{col 80}{space 3} .2630254
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0133219{col 39}{space 2} .0199478{col 50}{space 1}    0.67{col 59}{space 3}0.504{col 67}{space 4}-.0257753{col 80}{space 3} .0524192
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}  .111572{col 39}{space 2} .0892546{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.0633646{col 80}{space 3} .2865086
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0140896{col 39}{space 2} .0169858{col 50}{space 1}    0.83{col 59}{space 3}0.407{col 67}{space 4}-.0192021{col 80}{space 3} .0473814
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0507975{col 39}{space 2}  .100952{col 50}{space 1}   -0.50{col 59}{space 3}0.615{col 67}{space 4}-.2486605{col 80}{space 3} .1470655
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0186961{col 39}{space 2} .0111739{col 50}{space 1}    1.67{col 59}{space 3}0.094{col 67}{space 4}-.0032045{col 80}{space 3} .0405967
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0190156{col 39}{space 2} .0571904{col 50}{space 1}   -0.33{col 59}{space 3}0.740{col 67}{space 4}-.1311072{col 80}{space 3}  .093076
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000375{col 39}{space 2} .0000408{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.0000423{col 80}{space 3} .0001174
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.08e-06{col 39}{space 2} 2.75e-07{col 50}{space 1}    3.92{col 59}{space 3}0.000{col 67}{space 4} 5.39e-07{col 80}{space 3} 1.62e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0148951{col 39}{space 2} .0011943{col 50}{space 1}   12.47{col 59}{space 3}0.000{col 67}{space 4} .0125543{col 80}{space 3}  .017236
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-5.08e-06{col 39}{space 2} .0005134{col 50}{space 1}   -0.01{col 59}{space 3}0.992{col 67}{space 4}-.0010114{col 80}{space 3} .0010012
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0099255{col 39}{space 2} .0014824{col 50}{space 1}    6.70{col 59}{space 3}0.000{col 67}{space 4}   .00702{col 80}{space 3} .0128311
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000642{col 39}{space 2} .0000197{col 50}{space 1}   -3.26{col 59}{space 3}0.001{col 67}{space 4}-.0001029{col 80}{space 3}-.0000255
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.67e-06{col 39}{space 2} 1.79e-07{col 50}{space 1}    9.36{col 59}{space 3}0.000{col 67}{space 4} 1.32e-06{col 80}{space 3} 2.03e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2}  .011797{col 39}{space 2} .0003784{col 50}{space 1}   31.18{col 59}{space 3}0.000{col 67}{space 4} .0110553{col 80}{space 3} .0125386
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010708{col 39}{space 2} .0001877{col 50}{space 1}    5.70{col 59}{space 3}0.000{col 67}{space 4} .0007029{col 80}{space 3} .0014388
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4176575{col 39}{space 2} .0016818{col 50}{space 1}  248.35{col 59}{space 3}0.000{col 67}{space 4} .4143613{col 80}{space 3} .4209537
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1510706{col 39}{space 2} .1097004{col 50}{space 1}    1.38{col 59}{space 3}0.168{col 67}{space 4}-.0639391{col 80}{space 3} .3660802
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. * 2SLS with individual IV
. ivreghdfe Voted2022  $main_controls (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) first
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of WP_Voted2018:

Statistics robust to heteroskedasticity and clustering on WP_HPG_id
Number of obs = {col 31}{res} 1585336
{txt}Number of clusters (WP_HPG_id) = {col 33}{res}298640
{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .1082658{col 39}{space 2} .0020865{col 50}{space 1}   51.89{col 59}{space 3}0.000{col 67}{space 4} .1041764{col 80}{space 3} .1123553
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0049641{col 39}{space 2}  .000577{col 50}{space 1}    8.60{col 59}{space 3}0.000{col 67}{space 4} .0038332{col 80}{space 3} .0060949
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0062179{col 39}{space 2}  .000467{col 50}{space 1}   13.31{col 59}{space 3}0.000{col 67}{space 4} .0053025{col 80}{space 3} .0071332
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .002031{col 39}{space 2} .0006416{col 50}{space 1}    3.17{col 59}{space 3}0.002{col 67}{space 4} .0007733{col 80}{space 3} .0032886
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .0872641{col 39}{space 2} .0829293{col 50}{space 1}    1.05{col 59}{space 3}0.293{col 67}{space 4}-.0752744{col 80}{space 3} .2498025
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .0771673{col 39}{space 2} .0829932{col 50}{space 1}    0.93{col 59}{space 3}0.352{col 67}{space 4}-.0854964{col 80}{space 3} .2398311
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .0699682{col 39}{space 2} .0828792{col 50}{space 1}    0.84{col 59}{space 3}0.399{col 67}{space 4}-.0924722{col 80}{space 3} .2324087
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0013559{col 39}{space 2} .0831927{col 50}{space 1}    0.02{col 59}{space 3}0.987{col 67}{space 4}-.1616989{col 80}{space 3} .1644107
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0027373{col 39}{space 2} .0829457{col 50}{space 1}   -0.03{col 59}{space 3}0.974{col 67}{space 4} -.165308{col 80}{space 3} .1598333
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0258031{col 39}{space 2} .0845424{col 50}{space 1}   -0.31{col 59}{space 3}0.760{col 67}{space 4}-.1915032{col 80}{space 3} .1398971
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0114568{col 39}{space 2} .0829229{col 50}{space 1}    0.14{col 59}{space 3}0.890{col 67}{space 4}-.1510692{col 80}{space 3} .1739827
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0087417{col 39}{space 2} .0830342{col 50}{space 1}   -0.11{col 59}{space 3}0.916{col 67}{space 4} -.171486{col 80}{space 3} .1540025
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0638028{col 39}{space 2} .0836344{col 50}{space 1}   -0.76{col 59}{space 3}0.446{col 67}{space 4}-.2277233{col 80}{space 3} .1001177
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .0478022{col 39}{space 2} .1234255{col 50}{space 1}    0.39{col 59}{space 3}0.699{col 67}{space 4}-.1941075{col 80}{space 3} .2897119
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .0672263{col 39}{space 2} .0832779{col 50}{space 1}    0.81{col 59}{space 3}0.420{col 67}{space 4}-.0959955{col 80}{space 3} .2304481
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0785475{col 39}{space 2} .0829915{col 50}{space 1}    0.95{col 59}{space 3}0.344{col 67}{space 4} -.084113{col 80}{space 3}  .241208
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0767314{col 39}{space 2} .0829297{col 50}{space 1}    0.93{col 59}{space 3}0.355{col 67}{space 4} -.085808{col 80}{space 3} .2392709
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .0670945{col 39}{space 2} .0829029{col 50}{space 1}    0.81{col 59}{space 3}0.418{col 67}{space 4}-.0953924{col 80}{space 3} .2295813
{txt}{space 22}16  {c |}{col 27}{res}{space 2}  .025755{col 39}{space 2} .0828649{col 50}{space 1}    0.31{col 59}{space 3}0.756{col 67}{space 4}-.1366574{col 80}{space 3} .1881673
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0557305{col 39}{space 2} .0880629{col 50}{space 1}   -0.63{col 59}{space 3}0.527{col 67}{space 4}-.2283308{col 80}{space 3} .1168697
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .0460191{col 39}{space 2} .0843052{col 50}{space 1}    0.55{col 59}{space 3}0.585{col 67}{space 4}-.1192162{col 80}{space 3} .2112545
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .0594464{col 39}{space 2} .0838341{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4}-.1048656{col 80}{space 3} .2237584
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0178214{col 39}{space 2} .0833297{col 50}{space 1}   -0.21{col 59}{space 3}0.831{col 67}{space 4}-.1811447{col 80}{space 3}  .145502
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .0925884{col 39}{space 2} .0829842{col 50}{space 1}    1.12{col 59}{space 3}0.265{col 67}{space 4}-.0700577{col 80}{space 3} .2552345
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .0954733{col 39}{space 2} .0828061{col 50}{space 1}    1.15{col 59}{space 3}0.249{col 67}{space 4}-.0668238{col 80}{space 3} .2577705
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .0945817{col 39}{space 2} .0828033{col 50}{space 1}    1.14{col 59}{space 3}0.253{col 67}{space 4}  -.06771{col 80}{space 3} .2568734
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .0905398{col 39}{space 2} .0828051{col 50}{space 1}    1.09{col 59}{space 3}0.274{col 67}{space 4}-.0717553{col 80}{space 3} .2528348
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .0782878{col 39}{space 2} .0828318{col 50}{space 1}    0.95{col 59}{space 3}0.345{col 67}{space 4}-.0840597{col 80}{space 3} .2406352
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .0736327{col 39}{space 2}  .082825{col 50}{space 1}    0.89{col 59}{space 3}0.374{col 67}{space 4}-.0887016{col 80}{space 3} .2359669
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .0532604{col 39}{space 2} .0837408{col 50}{space 1}    0.64{col 59}{space 3}0.525{col 67}{space 4}-.1108687{col 80}{space 3} .2173894
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .0674784{col 39}{space 2} .0828649{col 50}{space 1}    0.81{col 59}{space 3}0.415{col 67}{space 4}-.0949339{col 80}{space 3} .2298907
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .0654977{col 39}{space 2} .0828459{col 50}{space 1}    0.79{col 59}{space 3}0.429{col 67}{space 4}-.0968774{col 80}{space 3} .2278729
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .0513063{col 39}{space 2} .0831636{col 50}{space 1}    0.62{col 59}{space 3}0.537{col 67}{space 4}-.1116915{col 80}{space 3} .2143042
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .0977328{col 39}{space 2} .0832609{col 50}{space 1}    1.17{col 59}{space 3}0.240{col 67}{space 4}-.0654557{col 80}{space 3} .2609212
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .1001995{col 39}{space 2} .0828041{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4}-.0620937{col 80}{space 3} .2624926
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .1010449{col 39}{space 2} .0828023{col 50}{space 1}    1.22{col 59}{space 3}0.222{col 67}{space 4}-.0612448{col 80}{space 3} .2633346
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .1012369{col 39}{space 2} .0828033{col 50}{space 1}    1.22{col 59}{space 3}0.221{col 67}{space 4}-.0610548{col 80}{space 3} .2635286
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .0961151{col 39}{space 2} .0828073{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.0661844{col 80}{space 3} .2584146
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .0855126{col 39}{space 2} .0828088{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4}-.0767898{col 80}{space 3}  .247815
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .0860011{col 39}{space 2} .0831851{col 50}{space 1}    1.03{col 59}{space 3}0.301{col 67}{space 4}-.0770389{col 80}{space 3} .2490411
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .1048486{col 39}{space 2} .0829341{col 50}{space 1}    1.26{col 59}{space 3}0.206{col 67}{space 4}-.0576992{col 80}{space 3} .2673965
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .0902962{col 39}{space 2} .0829102{col 50}{space 1}    1.09{col 59}{space 3}0.276{col 67}{space 4} -.072205{col 80}{space 3} .2527974
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .0749123{col 39}{space 2} .0830159{col 50}{space 1}    0.90{col 59}{space 3}0.367{col 67}{space 4} -.087796{col 80}{space 3} .2376207
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .1031857{col 39}{space 2} .1000064{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4}-.0928234{col 80}{space 3} .2991948
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} .8401984{col 39}{space 2} .8715857{col 50}{space 1}    0.96{col 59}{space 3}0.335{col 67}{space 4}-.8680794{col 80}{space 3} 2.548476
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0028425{col 39}{space 2}  .005906{col 50}{space 1}    0.48{col 59}{space 3}0.630{col 67}{space 4} -.008733{col 80}{space 3}  .014418
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0266131{col 39}{space 2} .0241114{col 50}{space 1}    1.10{col 59}{space 3}0.270{col 67}{space 4}-.0206444{col 80}{space 3} .0738707
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0046926{col 39}{space 2} .0072377{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0094931{col 80}{space 3} .0188783
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0720303{col 39}{space 2} .0281282{col 50}{space 1}    2.56{col 59}{space 3}0.010{col 67}{space 4} .0168999{col 80}{space 3} .1271606
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}  .003482{col 39}{space 2} .0047457{col 50}{space 1}    0.73{col 59}{space 3}0.463{col 67}{space 4}-.0058194{col 80}{space 3} .0127834
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0257328{col 39}{space 2} .0249339{col 50}{space 1}    1.03{col 59}{space 3}0.302{col 67}{space 4}-.0231368{col 80}{space 3} .0746023
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0336438{col 39}{space 2} .0106292{col 50}{space 1}    3.17{col 59}{space 3}0.002{col 67}{space 4} .0128109{col 80}{space 3} .0544767
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0294069{col 39}{space 2} .0604559{col 50}{space 1}   -0.49{col 59}{space 3}0.627{col 67}{space 4}-.1478984{col 80}{space 3} .0890846
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0414949{col 39}{space 2} .0064364{col 50}{space 1}    6.45{col 59}{space 3}0.000{col 67}{space 4} .0288798{col 80}{space 3}   .05411
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0275843{col 39}{space 2} .0312999{col 50}{space 1}    0.88{col 59}{space 3}0.378{col 67}{space 4}-.0337623{col 80}{space 3}  .088931
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0407568{col 39}{space 2} .0225064{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4} -.003355{col 80}{space 3} .0848686
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0130177{col 39}{space 2} .1232037{col 50}{space 1}    0.11{col 59}{space 3}0.916{col 67}{space 4}-.2284573{col 80}{space 3} .2544928
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0267428{col 39}{space 2} .0061301{col 50}{space 1}    4.36{col 59}{space 3}0.000{col 67}{space 4} .0147279{col 80}{space 3} .0387576
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0794968{col 39}{space 2} .0375776{col 50}{space 1}   -2.12{col 59}{space 3}0.034{col 67}{space 4}-.1531476{col 80}{space 3} -.005846
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0325595{col 39}{space 2} .0085717{col 50}{space 1}    3.80{col 59}{space 3}0.000{col 67}{space 4} .0157592{col 80}{space 3} .0493597
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0049057{col 39}{space 2} .0447412{col 50}{space 1}    0.11{col 59}{space 3}0.913{col 67}{space 4}-.0827856{col 80}{space 3}  .092597
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0510894{col 39}{space 2}  .015661{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .0203944{col 80}{space 3} .0817844
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1675528{col 39}{space 2} .0881915{col 50}{space 1}   -1.90{col 59}{space 3}0.057{col 67}{space 4}-.3404052{col 80}{space 3} .0052995
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0619547{col 39}{space 2} .1025894{col 50}{space 1}    0.60{col 59}{space 3}0.546{col 67}{space 4} -.139117{col 80}{space 3} .2630265
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .5648357{col 39}{space 2} .2013003{col 50}{space 1}    2.81{col 59}{space 3}0.005{col 67}{space 4}  .170294{col 80}{space 3} .9593774
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0281395{col 39}{space 2} .0108495{col 50}{space 1}    2.59{col 59}{space 3}0.009{col 67}{space 4} .0068749{col 80}{space 3} .0494042
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} .1235135{col 39}{space 2}  .040845{col 50}{space 1}    3.02{col 59}{space 3}0.002{col 67}{space 4} .0434587{col 80}{space 3} .2035683
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0124586{col 39}{space 2} .0070957{col 50}{space 1}    1.76{col 59}{space 3}0.079{col 67}{space 4}-.0014487{col 80}{space 3} .0263658
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0972881{col 39}{space 2} .0266863{col 50}{space 1}    3.65{col 59}{space 3}0.000{col 67}{space 4} .0449839{col 80}{space 3} .1495922
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0108293{col 39}{space 2} .0058187{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0005752{col 80}{space 3} .0222338
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}  .055112{col 39}{space 2} .0408811{col 50}{space 1}    1.35{col 59}{space 3}0.178{col 67}{space 4}-.0250136{col 80}{space 3} .1352376
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0157304{col 39}{space 2} .0053266{col 50}{space 1}    2.95{col 59}{space 3}0.003{col 67}{space 4} .0052905{col 80}{space 3} .0261703
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}  .101029{col 39}{space 2} .0222384{col 50}{space 1}    4.54{col 59}{space 3}0.000{col 67}{space 4} .0574425{col 80}{space 3} .1446154
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0307335{col 39}{space 2}  .004241{col 50}{space 1}    7.25{col 59}{space 3}0.000{col 67}{space 4} .0224213{col 80}{space 3} .0390458
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0048759{col 39}{space 2} .0247117{col 50}{space 1}    0.20{col 59}{space 3}0.844{col 67}{space 4}-.0435582{col 80}{space 3} .0533099
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0957621{col 39}{space 2} .0360077{col 50}{space 1}    2.66{col 59}{space 3}0.008{col 67}{space 4} .0251883{col 80}{space 3} .1663359
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .0554523{col 39}{space 2} .1801175{col 50}{space 1}    0.31{col 59}{space 3}0.758{col 67}{space 4}-.2975718{col 80}{space 3} .4084763
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0146304{col 39}{space 2} .0204553{col 50}{space 1}    0.72{col 59}{space 3}0.474{col 67}{space 4}-.0254612{col 80}{space 3}  .054722
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0848062{col 39}{space 2} .1168614{col 50}{space 1}    0.73{col 59}{space 3}0.468{col 67}{space 4} -.144238{col 80}{space 3} .3138505
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0171083{col 39}{space 2} .0173783{col 50}{space 1}   -0.98{col 59}{space 3}0.325{col 67}{space 4}-.0511691{col 80}{space 3} .0169525
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0577024{col 39}{space 2} .1018446{col 50}{space 1}   -0.57{col 59}{space 3}0.571{col 67}{space 4}-.2573143{col 80}{space 3} .1419094
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0503035{col 39}{space 2} .0119564{col 50}{space 1}    4.21{col 59}{space 3}0.000{col 67}{space 4} .0268694{col 80}{space 3} .0737376
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0511095{col 39}{space 2} .0730999{col 50}{space 1}   -0.70{col 59}{space 3}0.484{col 67}{space 4}-.1943829{col 80}{space 3} .0921638
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0005932{col 39}{space 2} .0000382{col 50}{space 1}   15.54{col 59}{space 3}0.000{col 67}{space 4} .0005184{col 80}{space 3}  .000668
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.19e-06{col 39}{space 2} 2.17e-07{col 50}{space 1}    5.50{col 59}{space 3}0.000{col 67}{space 4} 7.68e-07{col 80}{space 3} 1.62e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0074129{col 39}{space 2} .0011498{col 50}{space 1}    6.45{col 59}{space 3}0.000{col 67}{space 4} .0051593{col 80}{space 3} .0096664
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0043303{col 39}{space 2} .0004823{col 50}{space 1}   -8.98{col 59}{space 3}0.000{col 67}{space 4}-.0052757{col 80}{space 3} -.003385
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} -.002176{col 39}{space 2} .0014898{col 50}{space 1}   -1.46{col 59}{space 3}0.144{col 67}{space 4}-.0050959{col 80}{space 3}  .000744
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0001669{col 39}{space 2} .0000128{col 50}{space 1}   13.04{col 59}{space 3}0.000{col 67}{space 4} .0001418{col 80}{space 3}  .000192
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 9.23e-07{col 39}{space 2} 9.96e-08{col 50}{space 1}    9.27{col 59}{space 3}0.000{col 67}{space 4} 7.28e-07{col 80}{space 3} 1.12e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0023414{col 39}{space 2}  .000238{col 50}{space 1}    9.84{col 59}{space 3}0.000{col 67}{space 4}  .001875{col 80}{space 3} .0028079
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0001609{col 39}{space 2} .0001112{col 50}{space 1}    1.45{col 59}{space 3}0.148{col 67}{space 4} -.000057{col 80}{space 3} .0003789
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0147755{col 39}{space 2} .0008716{col 50}{space 1}   16.95{col 59}{space 3}0.000{col 67}{space 4} .0130671{col 80}{space 3} .0164838
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,298639) = {res} 2692.49
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,298639) = {res} 2692.49
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}298639{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}298639{txt})
{res}WP_Voted2018{col 14}{txt}|{col 18}{res} 2692.49{col 28}  0.0000{col 37}{txt}|{col 42}{res} 2702.89{col 51}  0.0000{col 60}{txt}|{col 65}{res} 2692.49

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}2622.10{col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}13185.99
Kleibergen-Paap Wald rk F statistic{col 65} 2692.49

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}298639{txt})={col 49}{res}  23.51{col 61}{txt}P-val={res}0.0000
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  23.60{col 61}{txt}P-val={res}0.0000
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  23.70{col 61}{txt}P-val={res}0.0000

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}    298640
{txt}Number of observations               N  = {res}   1585336
{txt}Number of regressors                 K  = {res}        93
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}        93
{txt}Number of excluded instruments       L1 = {res}         1

{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 93,298639) = {res} 1295.94
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2272
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2272
{txt}Residual SS             = {res} 76758.00704{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0803685{col 39}{space 2} .0165787{col 50}{space 1}    4.85{col 59}{space 3}0.000{col 67}{space 4} .0478748{col 80}{space 3} .1128623
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0354191{col 39}{space 2} .0010749{col 50}{space 1}   32.95{col 59}{space 3}0.000{col 67}{space 4} .0333124{col 80}{space 3} .0375259
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224913{col 39}{space 2} .0010749{col 50}{space 1}  113.96{col 59}{space 3}0.000{col 67}{space 4} .1203846{col 80}{space 3}  .124598
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1026161{col 39}{space 2} .0012902{col 50}{space 1}   79.54{col 59}{space 3}0.000{col 67}{space 4} .1000874{col 80}{space 3} .1051448
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2235901{col 39}{space 2} .1097269{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0085285{col 80}{space 3} .4386517
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2200672{col 39}{space 2} .1097744{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0049124{col 80}{space 3}  .435222
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2152545{col 39}{space 2} .1096939{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0002576{col 80}{space 3} .4302514
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1880787{col 39}{space 2} .1098724{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4}-.0272682{col 80}{space 3} .4034256
{txt}{space 23}6  {c |}{col 27}{res}{space 2}  .201637{col 39}{space 2} .1097263{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0134233{col 80}{space 3} .4166974
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1659506{col 39}{space 2} .1106756{col 50}{space 1}    1.50{col 59}{space 3}0.134{col 67}{space 4}-.0509706{col 80}{space 3} .3828717
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2089665{col 39}{space 2} .1096983{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4} -.006039{col 80}{space 3} .4239721
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2084472{col 39}{space 2} .1097628{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0066847{col 80}{space 3} .4235792
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1765013{col 39}{space 2} .1101587{col 50}{space 1}    1.60{col 59}{space 3}0.109{col 67}{space 4}-.0394066{col 80}{space 3} .3924091
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3683386{col 39}{space 2} .1535366{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0674111{col 80}{space 3} .6692661
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2223232{col 39}{space 2}  .109909{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0069045{col 80}{space 3} .4377418
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2281816{col 39}{space 2} .1098185{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0129405{col 80}{space 3} .4434228
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2238353{col 39}{space 2} .1097298{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0087681{col 80}{space 3} .4389025
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2161913{col 39}{space 2} .1097119{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0011591{col 80}{space 3} .4312236
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2027909{col 39}{space 2} .1096749{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0121689{col 80}{space 3} .4177507
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2077301{col 39}{space 2} .1122963{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0123675{col 80}{space 3} .4278277
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1978984{col 39}{space 2} .1106955{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0190617{col 80}{space 3} .4148584
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1998951{col 39}{space 2} .1103647{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0164165{col 80}{space 3} .4162068
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1842105{col 39}{space 2} .1099652{col 50}{space 1}    1.68{col 59}{space 3}0.094{col 67}{space 4}-.0313182{col 80}{space 3} .3997392
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2188638{col 39}{space 2} .1103034{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0026722{col 80}{space 3} .4350553
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2176215{col 39}{space 2} .1096487{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0027132{col 80}{space 3} .4325299
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2221984{col 39}{space 2} .1096437{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0072998{col 80}{space 3}  .437097
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2230881{col 39}{space 2} .1096437{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0081895{col 80}{space 3} .4379868
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2196738{col 39}{space 2} .1096585{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0047462{col 80}{space 3} .4346015
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2196064{col 39}{space 2} .1096541{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0046874{col 80}{space 3} .4345254
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2095502{col 39}{space 2}  .110231{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0064995{col 80}{space 3} .4255999
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2168018{col 39}{space 2} .1096758{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0018402{col 80}{space 3} .4317634
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2095471{col 39}{space 2} .1096688{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0054007{col 80}{space 3} .4244948
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2053125{col 39}{space 2} .1098833{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0100557{col 80}{space 3} .4206806
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2323685{col 39}{space 2} .1102518{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4}  .016278{col 80}{space 3} .4484589
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2214004{col 39}{space 2} .1096476{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0064941{col 80}{space 3} .4363066
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2247732{col 39}{space 2}  .109645{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0098721{col 80}{space 3} .4396743
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2267508{col 39}{space 2} .1096463{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0118471{col 80}{space 3} .4416545
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2263309{col 39}{space 2}  .109647{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0114259{col 80}{space 3}  .441236
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .221735{col 39}{space 2}  .109645{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0068338{col 80}{space 3} .4366362
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2268851{col 39}{space 2} .1099754{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0113365{col 80}{space 3} .4424337
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2252906{col 39}{space 2} .1098592{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0099697{col 80}{space 3} .4406115
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2187833{col 39}{space 2}  .109767{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4}  .003643{col 80}{space 3} .4339236
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2257065{col 39}{space 2} .1097997{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0105022{col 80}{space 3} .4409107
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3140541{col 39}{space 2} .1346589{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4} .0501264{col 80}{space 3} .5779818
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.440974{col 39}{space 2} 1.357061{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-5.100775{col 80}{space 3}  .218827
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0029276{col 39}{space 2} .0057073{col 50}{space 1}   -0.51{col 59}{space 3}0.608{col 67}{space 4}-.0141138{col 80}{space 3} .0082587
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0035234{col 39}{space 2} .0353313{col 50}{space 1}   -0.10{col 59}{space 3}0.921{col 67}{space 4}-.0727718{col 80}{space 3}  .065725
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0024764{col 39}{space 2} .0072008{col 50}{space 1}   -0.34{col 59}{space 3}0.731{col 67}{space 4}-.0165897{col 80}{space 3}  .011637
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0847617{col 39}{space 2} .0469914{col 50}{space 1}   -1.80{col 59}{space 3}0.071{col 67}{space 4}-.1768635{col 80}{space 3} .0073401
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0020257{col 39}{space 2} .0048543{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4}-.0074887{col 80}{space 3} .0115401
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0163393{col 39}{space 2}  .025858{col 50}{space 1}    0.63{col 59}{space 3}0.527{col 67}{space 4}-.0343417{col 80}{space 3} .0670202
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0114696{col 39}{space 2}   .00988{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4} -.007895{col 80}{space 3} .0308342
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0386542{col 39}{space 2} .0443046{col 50}{space 1}    0.87{col 59}{space 3}0.383{col 67}{space 4}-.0481815{col 80}{space 3}   .12549
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0062859{col 39}{space 2} .0063142{col 50}{space 1}   -1.00{col 59}{space 3}0.319{col 67}{space 4}-.0186616{col 80}{space 3} .0060898
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0935131{col 39}{space 2} .0325723{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4} -.157354{col 80}{space 3}-.0296722
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0329223{col 39}{space 2} .0205389{col 50}{space 1}    1.60{col 59}{space 3}0.109{col 67}{space 4}-.0073333{col 80}{space 3} .0731779
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1684544{col 39}{space 2} .1440617{col 50}{space 1}   -1.17{col 59}{space 3}0.242{col 67}{space 4}-.4508113{col 80}{space 3} .1139025
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0013168{col 39}{space 2} .0054392{col 50}{space 1}   -0.24{col 59}{space 3}0.809{col 67}{space 4}-.0119775{col 80}{space 3}  .009344
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0327869{col 39}{space 2} .0305046{col 50}{space 1}   -1.07{col 59}{space 3}0.282{col 67}{space 4} -.092575{col 80}{space 3} .0270012
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0002073{col 39}{space 2} .0075823{col 50}{space 1}   -0.03{col 59}{space 3}0.978{col 67}{space 4}-.0150684{col 80}{space 3} .0146538
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0192937{col 39}{space 2} .0409803{col 50}{space 1}   -0.47{col 59}{space 3}0.638{col 67}{space 4}-.0996139{col 80}{space 3} .0610265
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0013525{col 39}{space 2} .0145567{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.0298832{col 80}{space 3} .0271782
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0248089{col 39}{space 2} .0881937{col 50}{space 1}   -0.28{col 59}{space 3}0.778{col 67}{space 4}-.1976661{col 80}{space 3} .1480484
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1329215{col 39}{space 2} .1288577{col 50}{space 1}   -1.03{col 59}{space 3}0.302{col 67}{space 4}-.3854789{col 80}{space 3} .1196358
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1090936{col 39}{space 2} .2295806{col 50}{space 1}    0.48{col 59}{space 3}0.635{col 67}{space 4} -.340878{col 80}{space 3} .5590652
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} -.001802{col 39}{space 2} .0100053{col 50}{space 1}   -0.18{col 59}{space 3}0.857{col 67}{space 4}-.0214121{col 80}{space 3} .0178081
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0212573{col 39}{space 2} .1152529{col 50}{space 1}   -0.18{col 59}{space 3}0.854{col 67}{space 4}-.2471498{col 80}{space 3} .2046352
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0086056{col 39}{space 2} .0080405{col 50}{space 1}   -1.07{col 59}{space 3}0.284{col 67}{space 4}-.0243647{col 80}{space 3} .0071535
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0270539{col 39}{space 2}  .030777{col 50}{space 1}    0.88{col 59}{space 3}0.379{col 67}{space 4} -.033268{col 80}{space 3} .0873759
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0043295{col 39}{space 2} .0057874{col 50}{space 1}   -0.75{col 59}{space 3}0.454{col 67}{space 4}-.0156726{col 80}{space 3} .0070135
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0057632{col 39}{space 2} .0375946{col 50}{space 1}   -0.15{col 59}{space 3}0.878{col 67}{space 4}-.0794475{col 80}{space 3} .0679211
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}   .00326{col 39}{space 2}  .005376{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.0072767{col 80}{space 3} .0137968
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0025346{col 39}{space 2} .0309103{col 50}{space 1}    0.08{col 59}{space 3}0.935{col 67}{space 4}-.0580487{col 80}{space 3} .0631179
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}  .005391{col 39}{space 2} .0043194{col 50}{space 1}    1.25{col 59}{space 3}0.212{col 67}{space 4}-.0030748{col 80}{space 3} .0138569
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0199827{col 39}{space 2}  .023327{col 50}{space 1}    0.86{col 59}{space 3}0.392{col 67}{space 4}-.0257375{col 80}{space 3} .0657029
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0041798{col 39}{space 2}  .030984{col 50}{space 1}   -0.13{col 59}{space 3}0.893{col 67}{space 4}-.0649076{col 80}{space 3}  .056548
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1366594{col 39}{space 2} .0655221{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4}  .008238{col 80}{space 3} .2650808
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0121461{col 39}{space 2} .0200136{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.0270799{col 80}{space 3} .0513721
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1047562{col 39}{space 2} .0915492{col 50}{space 1}    1.14{col 59}{space 3}0.253{col 67}{space 4}-.0746777{col 80}{space 3} .2841901
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0154646{col 39}{space 2}  .016981{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.0178177{col 80}{space 3} .0487469
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}  -.04616{col 39}{space 2} .1015225{col 50}{space 1}   -0.45{col 59}{space 3}0.649{col 67}{space 4}-.2451412{col 80}{space 3} .1528212
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0146533{col 39}{space 2} .0112436{col 50}{space 1}    1.30{col 59}{space 3}0.192{col 67}{space 4}-.0073838{col 80}{space 3} .0366904
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} -.014908{col 39}{space 2} .0580825{col 50}{space 1}   -0.26{col 59}{space 3}0.797{col 67}{space 4}-.1287482{col 80}{space 3} .0989321
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000101{col 39}{space 2} .0000425{col 50}{space 1}   -0.24{col 59}{space 3}0.811{col 67}{space 4}-.0000933{col 80}{space 3} .0000731
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.81e-07{col 39}{space 2} 2.73e-07{col 50}{space 1}    3.60{col 59}{space 3}0.000{col 67}{space 4} 4.47e-07{col 80}{space 3} 1.52e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0142994{col 39}{space 2} .0012109{col 50}{space 1}   11.81{col 59}{space 3}0.000{col 67}{space 4} .0119261{col 80}{space 3} .0166727
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003429{col 39}{space 2} .0005188{col 50}{space 1}    0.66{col 59}{space 3}0.509{col 67}{space 4}-.0006739{col 80}{space 3} .0013598
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0101004{col 39}{space 2} .0014842{col 50}{space 1}    6.81{col 59}{space 3}0.000{col 67}{space 4} .0071913{col 80}{space 3} .0130095
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000776{col 39}{space 2} .0000199{col 50}{space 1}   -3.91{col 59}{space 3}0.000{col 67}{space 4}-.0001166{col 80}{space 3}-.0000387
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.60e-06{col 39}{space 2} 1.73e-07{col 50}{space 1}    9.27{col 59}{space 3}0.000{col 67}{space 4} 1.26e-06{col 80}{space 3} 1.94e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0116088{col 39}{space 2} .0003804{col 50}{space 1}   30.52{col 59}{space 3}0.000{col 67}{space 4} .0108633{col 80}{space 3} .0123543
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010579{col 39}{space 2} .0001878{col 50}{space 1}    5.63{col 59}{space 3}0.000{col 67}{space 4} .0006898{col 80}{space 3}  .001426
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}   .41647{col 39}{space 2} .0017002{col 50}{space 1}  244.96{col 59}{space 3}0.000{col 67}{space 4} .4131377{col 80}{space 3} .4198023
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2622.101
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.3e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2692.489
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. 
. *************************************************************************
. *** FIGURE 2 ****
. *************************************************************************
. 
. quietly reghdfe WP_Relative_Voted2010 $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(instrument_res)
{txt}
{com}. quietly reghdfe Voted2022 $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(turnout_res)
{txt}
{com}. quietly reghdfe WP_Voted2018  $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(wp_turnout_res)
{txt}
{com}. quietly reg  wp_turnout_res instrument_res $insample, cluster(WP_HPG_id) 
{txt}
{com}. predict pr_wp_turnout $insample, xb
{txt}(498,614 missing values generated)

{com}. 
. *fs
. binscatter2 wp_turnout_res instrument_res, reportreg  
{res}{txt}{txt}{hline}

      Source {c |}       SS           df       MS      Number of obs   ={res} 1,585,336
{txt}{hline 13}{c +}{hline 34}   F(1, 1585334)   = {res} 13236.86
{txt}       Model {c |} {res} 217.606491         1  217.606491   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 26061.9905 1,585,334  .016439432   {txt}R-squared       ={res}    0.0083
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0083
{txt}       Total {c |} {res}  26279.597 1,585,335  .016576684   {txt}Root MSE        =   {res} .12822

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}wp_turnout_res{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
instrument_res {c |}{col 16}{res}{space 2} .1082658{col 28}{space 2}  .000941{col 39}{space 1}  115.05{col 48}{space 3}0.000{col 56}{space 4} .1064215{col 69}{space 3} .1101102
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 3.88e-15{col 28}{space 2} .0001018{col 39}{space 1}    0.00{col 48}{space 3}1.000{col 56}{space 4}-.0001996{col 69}{space 3} .0001996
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{res}{txt}
{com}. binscatterhist  wp_turnout_res instrument_res , hist( wp_turnout_res instrument_res) nquantiles(20) mc(black) title("First stage") xtitle("Instrument (residualized)") ytitle("WP Turnout (residualized)") ylabel(,nogrid) xlabel(,nogrid) savegraph("firststage") replace
{txt}(2,083,950 real changes made)
{res}{txt}file {bf:firststage.gph} saved

{com}. 
. *rf
. binscatter2 turnout_res instrument_res, reportreg  
{res}{txt}{txt}{hline}

      Source {c |}       SS           df       MS      Number of obs   ={res} 1,585,336
{txt}{hline 13}{c +}{hline 34}   F(1, 1585334)   = {res}    29.05
{txt}       Model {c |} {res}  1.4055417         1   1.4055417   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  76705.955 1,585,334  .048384728   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0000
{txt}       Total {c |} {res} 76707.3605 1,585,335  .048385584   {txt}Root MSE        =   {res} .21997

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   turnout_res{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
instrument_res {c |}{col 16}{res}{space 2} .0087012{col 28}{space 2} .0016144{col 39}{space 1}    5.39{col 48}{space 3}0.000{col 56}{space 4}  .005537{col 69}{space 3} .0118653
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 2.62e-15{col 28}{space 2} .0001747{col 39}{space 1}    0.00{col 48}{space 3}1.000{col 56}{space 4}-.0003424{col 69}{space 3} .0003424
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{res}{txt}
{com}. binscatterhist turnout_res instrument_res, hist( turnout_res instrument_res) nquantiles(20) mc(black) title("Reduced form") xtitle("Instrument (residualized)") ytitle("Voted (residualized)") ylabel(,nogrid) xlabel(,nogrid)  ym(-.004) savegraph("reducedform") replace
{txt}(2,083,950 real changes made)
{res}{txt}file {bf:reducedform.gph} saved

{com}. 
. 
. *ss
. binscatter2 turnout_res pr_wp_turnout, reportreg  
{res}{txt}{txt}{hline}

      Source {c |}       SS           df       MS      Number of obs   ={res} 1,585,336
{txt}{hline 13}{c +}{hline 34}   F(1, 1585334)   = {res}    29.05
{txt}       Model {c |} {res}  1.4055417         1   1.4055417   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  76705.955 1,585,334  .048384728   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0000
{txt}       Total {c |} {res} 76707.3605 1,585,335  .048385584   {txt}Root MSE        =   {res} .21997

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  turnout_res{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pr_wp_turnout {c |}{col 15}{res}{space 2} .0803685{col 27}{space 2} .0149114{col 38}{space 1}    5.39{col 47}{space 3}0.000{col 55}{space 4} .0511427{col 68}{space 3} .1095943
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 4.07e-14{col 27}{space 2} .0001747{col 38}{space 1}    0.00{col 47}{space 3}1.000{col 55}{space 4}-.0003424{col 68}{space 3} .0003424
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{res}{txt}
{com}. binscatterhist turnout_res pr_wp_turnout, hist( turnout_res pr_wp_turnout) nquantiles(20) mc(black) title("Second stage") xtitle("Predicted WP Turnout") ytitle("Voted (residualized)") ylabel(,nogrid) xlabel(,nogrid) ym(-.004) savegraph("secondstage") replace
{txt}(2,083,950 real changes made)
{res}{txt}file {bf:secondstage.gph} saved

{com}. 
. *combined
. graph combine "firststage"  "reducedform" "secondstage", c(3)
{res}{txt}
{com}. 
. *Anderson-Rubin confidence interval:   [ .048265, .112472] 
. ivreg2 turnout_res (wp_turnout_res=instrument_res), cl(WP_HPG_id)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F(  1,298639) = {res}   23.59
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 76707.36054{txt}{col 55}Centered R2   = {res} -0.0007
{txt}Total (uncentered) SS   = {res} 76707.36054{txt}{col 55}Uncentered R2 = {res} -0.0007
{txt}Residual SS             = {res} 76758.00704{txt}{col 55}Root MSE      = {res}     .22

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}   turnout_res{col 16}{c |} Coefficient{col 28}  std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
wp_turnout_res {c |}{col 16}{res}{space 2} .0803685{col 28}{space 2} .0165468{col 39}{space 1}    4.86{col 48}{space 3}0.000{col 56}{space 4} .0479375{col 69}{space 3} .1127996
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 2.31e-15{col 28}{space 2} .0001785{col 39}{space 1}    0.00{col 48}{space 3}1.000{col 56}{space 4}-.0003499{col 69}{space 3} .0003499
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2622.101
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.3e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2702.878
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}wp_turnout_res
Excluded instruments:{col 23}instrument_res
{hline 78}

{com}.  weakiv
{res}{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[turnout_res:wp_turnout_res] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}   23.60{center 3:} {res} 0.0000 {c |}{center 15:95%}{res}{center 22:[ .048265, .112472]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}   23.59{center 3:} {res} 0.0000 {c |}{center 15:95%}{res}{center 22:[ .047937,   .1128]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [ .015506, .145231].{p_end}
{p}Number of obs N  = 1585336.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on WP_HPG_id (N_clust=298640).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
.  *probit
. reg  Voted2022 pr_wp_turnout, cl(WP_HPG_id)

{txt}Linear regression                               Number of obs     = {res} 1,585,336
                                                {txt}F(1, 298639)      =  {res}    15.81
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .25266

{txt}{ralign 79:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}    Voted2022{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pr_wp_turnout {c |}{col 15}{res}{space 2} .0803685{col 27}{space 2} .0202107{col 38}{space 1}    3.98{col 47}{space 3}0.000{col 55}{space 4} .0407562{col 68}{space 3} .1199808
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .9314631{col 27}{space 2} .0002484{col 38}{space 1} 3750.46{col 47}{space 3}0.000{col 55}{space 4} .9309763{col 68}{space 3} .9319499
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. probit  Voted2022 pr_wp_turnout, cl(WP_HPG_id)

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-396076.84}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-396066.25}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-396066.25}  
{res}
{txt}{col 1}Probit regression{col 54}{lalign 13:Number of obs}{col 67} = {res}{ralign 9:1,585,336}
{txt}{col 54}{lalign 13:Wald chi2({res:1})}{col 67} = {res}{ralign 9:16.21}
{txt}{col 54}{lalign 13:Prob > chi2}{col 67} = {res}{ralign 9:0.0001}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-396066.25}{txt}{col 54}{lalign 13:Pseudo R2}{col 67} = {res}{ralign 9:0.0000}

{txt}{ralign 79:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}    Voted2022{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pr_wp_turnout {c |}{col 15}{res}{space 2} .5836049{col 27}{space 2} .1449384{col 38}{space 1}    4.03{col 47}{space 3}0.000{col 55}{space 4} .2995309{col 68}{space 3} .8676788
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 1.486812{col 27}{space 2} .0018796{col 38}{space 1}  791.01{col 47}{space 3}0.000{col 55}{space 4} 1.483128{col 68}{space 3} 1.490496
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mfx

{txt}Marginal effects after probit
      y  = Pr(Voted2022) (predict)
         = {res} .93146772
{txt}{hline 9}{c TT}{hline 68}
variable {c |}{col 17}dy/dx{col 26}Std. err.{col 40}z{col 45}P>|z|{col 52}[    95% C.I.   ]{col 75}X
{hline 9}{c +}{hline 68}
pr_wp_~t {c |}  {res} .0770906      .01915    4.03   0.000   .039553  .114628  -4.7e-13
{txt}{hline 9}{c BT}{hline 68}

{com}. 
.  
. *************************************************************************
. *** TABLE 2: Heterogeneity ***
. *************************************************************************
. 
. * Dummies around median for continuous variables we do heterogeneity on
. keep  $insample
{txt}(498,614 observations deleted)

{com}. 
. foreach het_var of varlist Age2010 Income {c -(}
{txt}  2{com}. 
.  summarize `het_var', detail
{txt}  3{com}.  gen d`het_var' = (`het_var' > r(mean))
{txt}  4{com}.  gen Not_d`het_var' = !d`het_var'
{txt}  5{com}. {c )-}

                           {txt}Age2010
{hline 61}
      Percentiles      Smallest
 1%    {res}       13             10
{txt} 5%    {res}       16             10
{txt}10%    {res}       18             10       {txt}Obs         {res}  1,585,336
{txt}25%    {res}       25             10       {txt}Sum of wgt. {res}  1,585,336

{txt}50%    {res}       36                      {txt}Mean          {res} 35.06508
                        {txt}Largest       Std. dev.     {res} 12.14107
{txt}75%    {res}       45             57
{txt}90%    {res}       52             57       {txt}Variance      {res} 147.4055
{txt}95%    {res}       54             57       {txt}Skewness      {res}-.0359753
{txt}99%    {res}       57             57       {txt}Kurtosis      {res} 1.916578

                           {txt}Income
{hline 61}
      Percentiles      Smallest
 1%    {res}     1115           1000
{txt} 5%    {res}     1524           1000
{txt}10%    {res}     1962           1000       {txt}Obs         {res}  1,585,336
{txt}25%    {res}     2782           1000       {txt}Sum of wgt. {res}  1,585,336

{txt}50%    {res}     3555                      {txt}Mean          {res} 3893.555
                        {txt}Largest       Std. dev.     {res}  2535.47
{txt}75%    {res}     4477         274385
{txt}90%    {res}     5813         326059       {txt}Variance      {res}  6428610
{txt}95%    {res}     7035         347372       {txt}Skewness      {res} 34.30929
{txt}99%    {res}    11491         778213       {txt}Kurtosis      {res} 6534.166
{txt}
{com}. 
. * Create interaction variables for heterogeneity analysis
. 
. g  Voted2010 = IndexWorkerVoted2010
{txt}
{com}. foreach het_var of varlist Married Voted2010 EduCollege Female ParentsVoted2010   {c -(}
{txt}  2{com}.  gen Not_`het_var' = !`het_var'
{txt}  3{com}. {c )-}
{txt}
{com}. 
. 
. foreach het_var of varlist Married Voted2010 EduCollege Female ParentsVoted2010  dAge2010 dIncome  {c -(}
{txt}  2{com}. 
.  di "`het_var'"
{txt}  3{com}.  gen WP_Vote18_`het_var' = `het_var' * WP_Voted2018
{txt}  4{com}.  gen WP_Vote18_Not_`het_var' = Not_`het_var' * WP_Voted2018
{txt}  5{com}.  gen WP_RVote10_`het_var' = `het_var' * WP_Relative_Voted2010
{txt}  6{com}.  gen WP_RVote10_Not_`het_var' = Not_`het_var' * WP_Relative_Voted2010
{txt}  7{com}. 
. {c )-}
Married
Voted2010
EduCollege
Female
ParentsVoted2010
dAge2010
dIncome
{txt}
{com}. 
. 
. ivreghdfe Voted2022  $main_controls (WP_Vote18_Voted2010 WP_Vote18_Not_Voted2010 =WP_RVote10_Voted2010 WP_RVote10_Not_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 94,298639) = {res} 1281.73
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2252
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2252
{txt}Residual SS             = {res} 76953.95765{txt}{col 55}Root MSE      = {res}   .2207

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}WP_Vote18_Voted2010 {c |}{col 27}{res}{space 2}-.0043606{col 39}{space 2} .0163958{col 50}{space 1}   -0.27{col 59}{space 3}0.790{col 67}{space 4} -.036496{col 80}{space 3} .0277748
{txt}{space 2}WP_Vote18_Not_Voted2010 {c |}{col 27}{res}{space 2} .2361339{col 39}{space 2} .0231758{col 50}{space 1}   10.19{col 59}{space 3}0.000{col 67}{space 4}   .19071{col 80}{space 3} .2815579
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0350247{col 39}{space 2} .0010767{col 50}{space 1}   32.53{col 59}{space 3}0.000{col 67}{space 4} .0329143{col 80}{space 3}  .037135
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .3438819{col 39}{space 2} .0180268{col 50}{space 1}   19.08{col 59}{space 3}0.000{col 67}{space 4}   .30855{col 80}{space 3} .3792139
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1028556{col 39}{space 2} .0012947{col 50}{space 1}   79.44{col 59}{space 3}0.000{col 67}{space 4} .1003181{col 80}{space 3} .1053932
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2252632{col 39}{space 2} .1091633{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0113061{col 80}{space 3} .4392203
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2203816{col 39}{space 2} .1092121{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4}  .006329{col 80}{space 3} .4344342
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2165815{col 39}{space 2} .1091311{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0026876{col 80}{space 3} .4304753
{txt}{space 23}5  {c |}{col 27}{res}{space 2}  .189234{col 39}{space 2}   .10931{col 50}{space 1}    1.73{col 59}{space 3}0.083{col 67}{space 4}-.0250105{col 80}{space 3} .4034784
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2024867{col 39}{space 2} .1091643{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0114722{col 80}{space 3} .4164455
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1619769{col 39}{space 2} .1101439{col 50}{space 1}    1.47{col 59}{space 3}0.141{col 67}{space 4}-.0539019{col 80}{space 3} .3778558
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2080841{col 39}{space 2} .1091379{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0058231{col 80}{space 3} .4219914
{txt}{space 23}9  {c |}{col 27}{res}{space 2}    .2082{col 39}{space 2}  .109203{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0058349{col 80}{space 3} .4222349
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1768052{col 39}{space 2} .1096029{col 50}{space 1}    1.61{col 59}{space 3}0.107{col 67}{space 4}-.0380134{col 80}{space 3} .3916238
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3660477{col 39}{space 2}  .156526{col 50}{space 1}    2.34{col 59}{space 3}0.019{col 67}{space 4} .0592612{col 80}{space 3} .6728343
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2245424{col 39}{space 2} .1093511{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0102173{col 80}{space 3} .4388674
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2303584{col 39}{space 2} .1092562{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0162193{col 80}{space 3} .4444976
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2261923{col 39}{space 2}  .109167{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0122282{col 80}{space 3} .4401565
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2173964{col 39}{space 2} .1091491{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0034671{col 80}{space 3} .4313256
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2026746{col 39}{space 2} .1091128{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0111835{col 80}{space 3} .4165326
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2074982{col 39}{space 2} .1117858{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0115988{col 80}{space 3} .4265952
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1973879{col 39}{space 2} .1101559{col 50}{space 1}    1.79{col 59}{space 3}0.073{col 67}{space 4}-.0185147{col 80}{space 3} .4132904
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1972407{col 39}{space 2} .1098165{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0179965{col 80}{space 3} .4124778
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1840067{col 39}{space 2} .1094105{col 50}{space 1}    1.68{col 59}{space 3}0.093{col 67}{space 4}-.0304347{col 80}{space 3} .3984482
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2213819{col 39}{space 2} .1097563{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} .0062627{col 80}{space 3} .4365011
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2212768{col 39}{space 2} .1090831{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4}  .007477{col 80}{space 3} .4350767
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2253784{col 39}{space 2} .1090784{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0115878{col 80}{space 3}  .439169
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2256058{col 39}{space 2} .1090791{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0118139{col 80}{space 3} .4393977
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2207126{col 39}{space 2} .1090953{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0068889{col 80}{space 3} .4345364
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2201958{col 39}{space 2} .1090913{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} .0063798{col 80}{space 3} .4340118
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2082796{col 39}{space 2} .1096737{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0066779{col 80}{space 3} .4232371
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2169614{col 39}{space 2} .1091139{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0031013{col 80}{space 3} .4308215
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2101722{col 39}{space 2} .1091063{col 50}{space 1}    1.93{col 59}{space 3}0.054{col 67}{space 4}-.0036731{col 80}{space 3} .4240176
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2044632{col 39}{space 2} .1093265{col 50}{space 1}    1.87{col 59}{space 3}0.061{col 67}{space 4}-.0098137{col 80}{space 3}   .41874
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2345153{col 39}{space 2} .1096637{col 50}{space 1}    2.14{col 59}{space 3}0.032{col 67}{space 4} .0195775{col 80}{space 3} .4494532
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2254784{col 39}{space 2} .1090814{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0116819{col 80}{space 3} .4392749
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2283737{col 39}{space 2} .1090792{col 50}{space 1}    2.09{col 59}{space 3}0.036{col 67}{space 4} .0145814{col 80}{space 3} .4421659
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2298237{col 39}{space 2} .1090811{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0160279{col 80}{space 3} .4436195
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2285905{col 39}{space 2} .1090826{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0147917{col 80}{space 3} .4423894
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2223399{col 39}{space 2} .1090823{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0085416{col 80}{space 3} .4361382
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2281854{col 39}{space 2} .1094048{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4}  .013755{col 80}{space 3} .4426158
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2268002{col 39}{space 2} .1092968{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0125816{col 80}{space 3} .4410189
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2202349{col 39}{space 2} .1092076{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4}  .006191{col 80}{space 3} .4342788
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2242278{col 39}{space 2} .1092379{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0101246{col 80}{space 3}  .438331
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3147602{col 39}{space 2} .1339351{col 50}{space 1}    2.35{col 59}{space 3}0.019{col 67}{space 4} .0522511{col 80}{space 3} .5772693
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.457946{col 39}{space 2} 1.403085{col 50}{space 1}   -1.75{col 59}{space 3}0.080{col 67}{space 4}-5.207953{col 80}{space 3} .2920606
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0025631{col 39}{space 2} .0057003{col 50}{space 1}   -0.45{col 59}{space 3}0.653{col 67}{space 4}-.0137354{col 80}{space 3} .0086093
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} -.006154{col 39}{space 2} .0352821{col 50}{space 1}   -0.17{col 59}{space 3}0.862{col 67}{space 4}-.0753058{col 80}{space 3} .0629978
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0011327{col 39}{space 2} .0071905{col 50}{space 1}   -0.16{col 59}{space 3}0.875{col 67}{space 4}-.0152259{col 80}{space 3} .0129605
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0809526{col 39}{space 2} .0472051{col 50}{space 1}   -1.71{col 59}{space 3}0.086{col 67}{space 4}-.1734732{col 80}{space 3}  .011568
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0013511{col 39}{space 2}  .004872{col 50}{space 1}    0.28{col 59}{space 3}0.782{col 67}{space 4} -.008198{col 80}{space 3} .0109001
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0148559{col 39}{space 2} .0259409{col 50}{space 1}    0.57{col 59}{space 3}0.567{col 67}{space 4}-.0359876{col 80}{space 3} .0656994
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0100246{col 39}{space 2}  .009885{col 50}{space 1}    1.01{col 59}{space 3}0.311{col 67}{space 4}-.0093498{col 80}{space 3}  .029399
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0309449{col 39}{space 2} .0443226{col 50}{space 1}    0.70{col 59}{space 3}0.485{col 67}{space 4}-.0559262{col 80}{space 3}  .117816
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0069574{col 39}{space 2}  .006347{col 50}{space 1}   -1.10{col 59}{space 3}0.273{col 67}{space 4}-.0193974{col 80}{space 3} .0054826
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0979664{col 39}{space 2} .0330333{col 50}{space 1}   -2.97{col 59}{space 3}0.003{col 67}{space 4}-.1627106{col 80}{space 3}-.0332221
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0378735{col 39}{space 2} .0208532{col 50}{space 1}    1.82{col 59}{space 3}0.069{col 67}{space 4}-.0029981{col 80}{space 3} .0787451
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1795239{col 39}{space 2} .1444051{col 50}{space 1}   -1.24{col 59}{space 3}0.214{col 67}{space 4} -.462554{col 80}{space 3} .1035061
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0006114{col 39}{space 2} .0054744{col 50}{space 1}   -0.11{col 59}{space 3}0.911{col 67}{space 4} -.011341{col 80}{space 3} .0101182
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0242355{col 39}{space 2} .0308234{col 50}{space 1}   -0.79{col 59}{space 3}0.432{col 67}{space 4}-.0846485{col 80}{space 3} .0361775
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0003293{col 39}{space 2} .0076316{col 50}{space 1}   -0.04{col 59}{space 3}0.966{col 67}{space 4}-.0152871{col 80}{space 3} .0146284
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0143806{col 39}{space 2} .0411644{col 50}{space 1}   -0.35{col 59}{space 3}0.727{col 67}{space 4}-.0950617{col 80}{space 3} .0663005
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} -.000197{col 39}{space 2} .0146068{col 50}{space 1}   -0.01{col 59}{space 3}0.989{col 67}{space 4}-.0288258{col 80}{space 3} .0284319
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0180822{col 39}{space 2} .0925253{col 50}{space 1}   -0.20{col 59}{space 3}0.845{col 67}{space 4}-.1994293{col 80}{space 3} .1632648
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1343594{col 39}{space 2} .1337965{col 50}{space 1}   -1.00{col 59}{space 3}0.315{col 67}{space 4}-.3965967{col 80}{space 3} .1278779
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0636039{col 39}{space 2} .2355119{col 50}{space 1}    0.27{col 59}{space 3}0.787{col 67}{space 4}-.3979928{col 80}{space 3} .5252007
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0020966{col 39}{space 2} .0100781{col 50}{space 1}   -0.21{col 59}{space 3}0.835{col 67}{space 4}-.0218495{col 80}{space 3} .0176562
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} -.019837{col 39}{space 2}  .115978{col 50}{space 1}   -0.17{col 59}{space 3}0.864{col 67}{space 4}-.2471507{col 80}{space 3} .2074766
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0093668{col 39}{space 2} .0080735{col 50}{space 1}   -1.16{col 59}{space 3}0.246{col 67}{space 4}-.0251906{col 80}{space 3}  .006457
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0278287{col 39}{space 2} .0309497{col 50}{space 1}    0.90{col 59}{space 3}0.369{col 67}{space 4}-.0328318{col 80}{space 3} .0884893
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0055964{col 39}{space 2}  .005831{col 50}{space 1}   -0.96{col 59}{space 3}0.337{col 67}{space 4} -.017025{col 80}{space 3} .0058322
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0081593{col 39}{space 2} .0375121{col 50}{space 1}   -0.22{col 59}{space 3}0.828{col 67}{space 4}-.0816819{col 80}{space 3} .0653633
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0029813{col 39}{space 2} .0053898{col 50}{space 1}    0.55{col 59}{space 3}0.580{col 67}{space 4}-.0075826{col 80}{space 3} .0135451
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0031513{col 39}{space 2} .0307986{col 50}{space 1}    0.10{col 59}{space 3}0.919{col 67}{space 4}-.0572131{col 80}{space 3} .0635158
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0049838{col 39}{space 2} .0043364{col 50}{space 1}    1.15{col 59}{space 3}0.250{col 67}{space 4}-.0035154{col 80}{space 3} .0134831
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0234591{col 39}{space 2} .0235227{col 50}{space 1}    1.00{col 59}{space 3}0.319{col 67}{space 4}-.0226447{col 80}{space 3} .0695629
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0012792{col 39}{space 2} .0311505{col 50}{space 1}   -0.04{col 59}{space 3}0.967{col 67}{space 4}-.0623333{col 80}{space 3} .0597749
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1044178{col 39}{space 2} .0569632{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.0072284{col 80}{space 3} .2160641
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0124332{col 39}{space 2} .0201645{col 50}{space 1}    0.62{col 59}{space 3}0.538{col 67}{space 4}-.0270887{col 80}{space 3} .0519551
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1248593{col 39}{space 2} .0929509{col 50}{space 1}    1.34{col 59}{space 3}0.179{col 67}{space 4}-.0573218{col 80}{space 3} .3070404
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0186864{col 39}{space 2} .0170567{col 50}{space 1}    1.10{col 59}{space 3}0.273{col 67}{space 4}-.0147442{col 80}{space 3}  .052117
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0383998{col 39}{space 2} .1049264{col 50}{space 1}   -0.37{col 59}{space 3}0.714{col 67}{space 4}-.2440527{col 80}{space 3}  .167253
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0146616{col 39}{space 2}  .011335{col 50}{space 1}    1.29{col 59}{space 3}0.196{col 67}{space 4}-.0075548{col 80}{space 3} .0368779
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0089225{col 39}{space 2} .0590268{col 50}{space 1}   -0.15{col 59}{space 3}0.880{col 67}{space 4}-.1246134{col 80}{space 3} .1067684
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000334{col 39}{space 2} .0000427{col 50}{space 1}   -0.78{col 59}{space 3}0.435{col 67}{space 4}-.0001171{col 80}{space 3} .0000504
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.05e-06{col 39}{space 2} 2.76e-07{col 50}{space 1}    3.81{col 59}{space 3}0.000{col 67}{space 4} 5.09e-07{col 80}{space 3} 1.59e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0149148{col 39}{space 2} .0012123{col 50}{space 1}   12.30{col 59}{space 3}0.000{col 67}{space 4} .0125387{col 80}{space 3} .0172909
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003461{col 39}{space 2} .0005205{col 50}{space 1}    0.66{col 59}{space 3}0.506{col 67}{space 4}-.0006741{col 80}{space 3} .0013663
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0097931{col 39}{space 2} .0014881{col 50}{space 1}    6.58{col 59}{space 3}0.000{col 67}{space 4} .0068765{col 80}{space 3} .0127096
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000931{col 39}{space 2}   .00002{col 50}{space 1}   -4.65{col 59}{space 3}0.000{col 67}{space 4}-.0001324{col 80}{space 3}-.0000538
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.67e-06{col 39}{space 2} 1.79e-07{col 50}{space 1}    9.29{col 59}{space 3}0.000{col 67}{space 4} 1.32e-06{col 80}{space 3} 2.02e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0118736{col 39}{space 2} .0003802{col 50}{space 1}   31.23{col 59}{space 3}0.000{col 67}{space 4} .0111284{col 80}{space 3} .0126188
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0011609{col 39}{space 2} .0001881{col 50}{space 1}    6.17{col 59}{space 3}0.000{col 67}{space 4} .0007922{col 80}{space 3} .0015296
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4143452{col 39}{space 2} .0017229{col 50}{space 1}  240.49{col 59}{space 3}0.000{col 67}{space 4} .4109683{col 80}{space 3} .4177221
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2613.528
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6324.137
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1329.283
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_Voted2010 WP_Vote18_Not_Voted2010
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_RVote10_Voted2010 WP_RVote10_Not_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. ivreghdfe Voted2022  $main_controls ParentsVoted2010 (WP_Vote18_ParentsVoted2010 WP_Vote18_Not_ParentsVoted2010 =WP_RVote10_ParentsVoted2010 WP_RVote10_Not_ParentsVoted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 95,298639) = {res} 1279.04
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2272
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2272
{txt}Residual SS             = {res} 76756.09567{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
WP_Vote18_ParentsVot~2010 {c |}{col 27}{res}{space 2}  .055123{col 39}{space 2} .0168346{col 50}{space 1}    3.27{col 59}{space 3}0.001{col 67}{space 4} .0221277{col 80}{space 3} .0881183
{txt}WP_Vote18_Not_Parent~2010 {c |}{col 27}{res}{space 2} .1858107{col 39}{space 2} .0230745{col 50}{space 1}    8.05{col 59}{space 3}0.000{col 67}{space 4} .1405854{col 80}{space 3} .2310361
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0315425{col 39}{space 2} .0010763{col 50}{space 1}   29.31{col 59}{space 3}0.000{col 67}{space 4} .0294331{col 80}{space 3}  .033652
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1214454{col 39}{space 2} .0010751{col 50}{space 1}  112.96{col 59}{space 3}0.000{col 67}{space 4} .1193381{col 80}{space 3} .1235526
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1031052{col 39}{space 2} .0012938{col 50}{space 1}   79.69{col 59}{space 3}0.000{col 67}{space 4} .1005694{col 80}{space 3} .1056409
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2273778{col 39}{space 2} .1100568{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0116695{col 80}{space 3} .4430861
{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .223399{col 39}{space 2} .1101042{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0075977{col 80}{space 3} .4392002
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2187681{col 39}{space 2} .1100238{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0031246{col 80}{space 3} .4344116
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1916677{col 39}{space 2} .1102016{col 50}{space 1}    1.74{col 59}{space 3}0.082{col 67}{space 4}-.0243244{col 80}{space 3} .4076598
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2057005{col 39}{space 2} .1100562{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0100066{col 80}{space 3} .4214076
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1710152{col 39}{space 2}  .111001{col 50}{space 1}    1.54{col 59}{space 3}0.123{col 67}{space 4}-.0465436{col 80}{space 3}  .388574
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2127486{col 39}{space 2} .1100283{col 50}{space 1}    1.93{col 59}{space 3}0.053{col 67}{space 4}-.0029038{col 80}{space 3} .4284009
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2129411{col 39}{space 2} .1100923{col 50}{space 1}    1.93{col 59}{space 3}0.053{col 67}{space 4}-.0028368{col 80}{space 3}  .428719
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1808828{col 39}{space 2} .1104842{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4}-.0356632{col 80}{space 3} .3974288
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3713241{col 39}{space 2} .1533562{col 50}{space 1}    2.42{col 59}{space 3}0.015{col 67}{space 4} .0707503{col 80}{space 3} .6718979
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2263689{col 39}{space 2}  .110238{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0103054{col 80}{space 3} .4424323
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2317104{col 39}{space 2} .1101478{col 50}{space 1}    2.10{col 59}{space 3}0.035{col 67}{space 4} .0158238{col 80}{space 3} .4475971
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2273086{col 39}{space 2} .1100594{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0115953{col 80}{space 3} .4430219
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2199465{col 39}{space 2}  .110042{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0042672{col 80}{space 3} .4356259
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2070214{col 39}{space 2} .1100052{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0085857{col 80}{space 3} .4226286
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2128384{col 39}{space 2} .1125701{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0077958{col 80}{space 3} .4334726
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .2022126{col 39}{space 2} .1110018{col 50}{space 1}    1.82{col 59}{space 3}0.069{col 67}{space 4}-.0153477{col 80}{space 3} .4197729
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2042678{col 39}{space 2} .1106871{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0126758{col 80}{space 3} .4212115
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1902743{col 39}{space 2} .1102968{col 50}{space 1}    1.73{col 59}{space 3}0.085{col 67}{space 4}-.0259043{col 80}{space 3} .4064529
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2228993{col 39}{space 2} .1106215{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0060842{col 80}{space 3} .4397144
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2217144{col 39}{space 2} .1099788{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4}  .006159{col 80}{space 3} .4372698
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2263072{col 39}{space 2}  .109974{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0107612{col 80}{space 3} .4418531
{txt}{space 22}24  {c |}{col 27}{res}{space 2}  .227216{col 39}{space 2}  .109974{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4}   .01167{col 80}{space 3}  .442762
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2236906{col 39}{space 2} .1099886{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0081161{col 80}{space 3} .4392652
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2235524{col 39}{space 2} .1099842{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0079864{col 80}{space 3} .4391183
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2130961{col 39}{space 2} .1105581{col 50}{space 1}    1.93{col 59}{space 3}0.054{col 67}{space 4}-.0035947{col 80}{space 3} .4297868
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2206979{col 39}{space 2} .1100059{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0050894{col 80}{space 3} .4363064
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2134747{col 39}{space 2} .1099991{col 50}{space 1}    1.94{col 59}{space 3}0.052{col 67}{space 4}-.0021205{col 80}{space 3} .4290698
{txt}{space 22}30  {c |}{col 27}{res}{space 2}  .208923{col 39}{space 2} .1102117{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0070888{col 80}{space 3} .4249348
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2370578{col 39}{space 2} .1105686{col 50}{space 1}    2.14{col 59}{space 3}0.032{col 67}{space 4} .0203464{col 80}{space 3} .4537691
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2253113{col 39}{space 2} .1099778{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0097578{col 80}{space 3} .4408648
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2288971{col 39}{space 2} .1099753{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0133486{col 80}{space 3} .4444456
{txt}{space 22}34  {c |}{col 27}{res}{space 2}  .231092{col 39}{space 2} .1099766{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0155409{col 80}{space 3} .4466431
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2306557{col 39}{space 2} .1099773{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0151032{col 80}{space 3} .4462081
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .225942{col 39}{space 2} .1099753{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0103935{col 80}{space 3} .4414905
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2307473{col 39}{space 2} .1102987{col 50}{space 1}    2.09{col 59}{space 3}0.036{col 67}{space 4} .0145649{col 80}{space 3} .4469297
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2300954{col 39}{space 2} .1101851{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0141357{col 80}{space 3}  .446055
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2231353{col 39}{space 2} .1100968{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0073486{col 80}{space 3} .4389221
{txt}{space 22}40  {c |}{col 27}{res}{space 2}  .229782{col 39}{space 2} .1101306{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4}  .013929{col 80}{space 3}  .445635
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3190298{col 39}{space 2} .1349818{col 50}{space 1}    2.36{col 59}{space 3}0.018{col 67}{space 4} .0544693{col 80}{space 3} .5835903
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.430307{col 39}{space 2} 1.357046{col 50}{space 1}   -1.79{col 59}{space 3}0.073{col 67}{space 4} -5.09008{col 80}{space 3}  .229466
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0032665{col 39}{space 2} .0057045{col 50}{space 1}   -0.57{col 59}{space 3}0.567{col 67}{space 4}-.0144471{col 80}{space 3} .0079141
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} -.003512{col 39}{space 2} .0353826{col 50}{space 1}   -0.10{col 59}{space 3}0.921{col 67}{space 4}-.0728608{col 80}{space 3} .0658368
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} -.002214{col 39}{space 2} .0071977{col 50}{space 1}   -0.31{col 59}{space 3}0.758{col 67}{space 4}-.0163212{col 80}{space 3} .0118932
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0849757{col 39}{space 2} .0470185{col 50}{space 1}   -1.81{col 59}{space 3}0.071{col 67}{space 4}-.1771308{col 80}{space 3} .0071793
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0021456{col 39}{space 2} .0048487{col 50}{space 1}    0.44{col 59}{space 3}0.658{col 67}{space 4}-.0073577{col 80}{space 3} .0116488
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0156783{col 39}{space 2} .0258209{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}  -.03493{col 80}{space 3} .0662865
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0114022{col 39}{space 2} .0098716{col 50}{space 1}    1.16{col 59}{space 3}0.248{col 67}{space 4}-.0079458{col 80}{space 3} .0307502
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0368047{col 39}{space 2} .0441399{col 50}{space 1}    0.83{col 59}{space 3}0.404{col 67}{space 4}-.0497082{col 80}{space 3} .1233176
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0068656{col 39}{space 2}   .00632{col 50}{space 1}   -1.09{col 59}{space 3}0.277{col 67}{space 4}-.0192526{col 80}{space 3} .0055215
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0944953{col 39}{space 2} .0325231{col 50}{space 1}   -2.91{col 59}{space 3}0.004{col 67}{space 4}-.1582397{col 80}{space 3}-.0307508
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0315271{col 39}{space 2} .0205001{col 50}{space 1}    1.54{col 59}{space 3}0.124{col 67}{space 4}-.0086525{col 80}{space 3} .0717067
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1654086{col 39}{space 2} .1443574{col 50}{space 1}   -1.15{col 59}{space 3}0.252{col 67}{space 4} -.448345{col 80}{space 3} .1175279
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0013525{col 39}{space 2} .0054426{col 50}{space 1}   -0.25{col 59}{space 3}0.804{col 67}{space 4}-.0120199{col 80}{space 3} .0093149
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0342965{col 39}{space 2} .0305778{col 50}{space 1}   -1.12{col 59}{space 3}0.262{col 67}{space 4}-.0942281{col 80}{space 3}  .025635
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0011252{col 39}{space 2} .0075834{col 50}{space 1}   -0.15{col 59}{space 3}0.882{col 67}{space 4}-.0159884{col 80}{space 3}  .013738
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0182958{col 39}{space 2} .0408297{col 50}{space 1}   -0.45{col 59}{space 3}0.654{col 67}{space 4}-.0983209{col 80}{space 3} .0617293
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0015355{col 39}{space 2} .0145147{col 50}{space 1}   -0.11{col 59}{space 3}0.916{col 67}{space 4}-.0299839{col 80}{space 3}  .026913
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0194243{col 39}{space 2} .0890594{col 50}{space 1}   -0.22{col 59}{space 3}0.827{col 67}{space 4}-.1939782{col 80}{space 3} .1551296
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1304761{col 39}{space 2} .1282565{col 50}{space 1}   -1.02{col 59}{space 3}0.309{col 67}{space 4}-.3818551{col 80}{space 3}  .120903
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1131913{col 39}{space 2} .2294238{col 50}{space 1}    0.49{col 59}{space 3}0.622{col 67}{space 4}-.3364728{col 80}{space 3} .5628555
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0021289{col 39}{space 2} .0099909{col 50}{space 1}   -0.21{col 59}{space 3}0.831{col 67}{space 4}-.0217108{col 80}{space 3}  .017453
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0223183{col 39}{space 2} .1151858{col 50}{space 1}   -0.19{col 59}{space 3}0.846{col 67}{space 4}-.2480793{col 80}{space 3} .2034427
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0085066{col 39}{space 2} .0080359{col 50}{space 1}   -1.06{col 59}{space 3}0.290{col 67}{space 4}-.0242567{col 80}{space 3} .0072435
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0314312{col 39}{space 2} .0308032{col 50}{space 1}    1.02{col 59}{space 3}0.308{col 67}{space 4}-.0289422{col 80}{space 3} .0918045
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0040246{col 39}{space 2} .0057837{col 50}{space 1}   -0.70{col 59}{space 3}0.487{col 67}{space 4}-.0153606{col 80}{space 3} .0073113
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0063931{col 39}{space 2} .0374705{col 50}{space 1}   -0.17{col 59}{space 3}0.865{col 67}{space 4}-.0798342{col 80}{space 3} .0670479
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0032642{col 39}{space 2} .0053807{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.0072818{col 80}{space 3} .0138102
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0016251{col 39}{space 2} .0309208{col 50}{space 1}    0.05{col 59}{space 3}0.958{col 67}{space 4}-.0589788{col 80}{space 3}  .062229
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0051638{col 39}{space 2} .0043209{col 50}{space 1}    1.20{col 59}{space 3}0.232{col 67}{space 4}-.0033051{col 80}{space 3} .0136326
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0188363{col 39}{space 2} .0232824{col 50}{space 1}    0.81{col 59}{space 3}0.418{col 67}{space 4}-.0267966{col 80}{space 3} .0644691
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0063519{col 39}{space 2} .0307253{col 50}{space 1}   -0.21{col 59}{space 3}0.836{col 67}{space 4}-.0665726{col 80}{space 3} .0538687
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1264176{col 39}{space 2} .0627661{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0033978{col 80}{space 3} .2494375
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0118266{col 39}{space 2}  .019833{col 50}{space 1}    0.60{col 59}{space 3}0.551{col 67}{space 4}-.0270456{col 80}{space 3} .0506988
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1116715{col 39}{space 2} .0921955{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4}-.0690291{col 80}{space 3} .2923721
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0152272{col 39}{space 2} .0169142{col 50}{space 1}    0.90{col 59}{space 3}0.368{col 67}{space 4}-.0179242{col 80}{space 3} .0483787
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0421646{col 39}{space 2} .1010556{col 50}{space 1}   -0.42{col 59}{space 3}0.677{col 67}{space 4}-.2402308{col 80}{space 3} .1559015
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0127826{col 39}{space 2} .0112806{col 50}{space 1}    1.13{col 59}{space 3}0.257{col 67}{space 4}-.0093271{col 80}{space 3} .0348922
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0093805{col 39}{space 2} .0582129{col 50}{space 1}   -0.16{col 59}{space 3}0.872{col 67}{space 4}-.1234762{col 80}{space 3} .1047152
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0001416{col 39}{space 2}  .000043{col 50}{space 1}    3.30{col 59}{space 3}0.001{col 67}{space 4} .0000574{col 80}{space 3} .0002258
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.63e-07{col 39}{space 2} 2.69e-07{col 50}{space 1}    3.20{col 59}{space 3}0.001{col 67}{space 4} 3.35e-07{col 80}{space 3} 1.39e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2}  .014461{col 39}{space 2} .0012102{col 50}{space 1}   11.95{col 59}{space 3}0.000{col 67}{space 4}  .012089{col 80}{space 3}  .016833
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0000802{col 39}{space 2} .0005192{col 50}{space 1}    0.15{col 59}{space 3}0.877{col 67}{space 4}-.0009373{col 80}{space 3} .0010977
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0110149{col 39}{space 2} .0014847{col 50}{space 1}    7.42{col 59}{space 3}0.000{col 67}{space 4} .0081048{col 80}{space 3} .0139249
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}  .000072{col 39}{space 2} .0000209{col 50}{space 1}    3.45{col 59}{space 3}0.001{col 67}{space 4} .0000311{col 80}{space 3} .0001129
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.53e-06{col 39}{space 2} 1.66e-07{col 50}{space 1}    9.20{col 59}{space 3}0.000{col 67}{space 4} 1.20e-06{col 80}{space 3} 1.85e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0117192{col 39}{space 2} .0003802{col 50}{space 1}   30.82{col 59}{space 3}0.000{col 67}{space 4}  .010974{col 80}{space 3} .0124643
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0008347{col 39}{space 2} .0001885{col 50}{space 1}    4.43{col 59}{space 3}0.000{col 67}{space 4} .0004653{col 80}{space 3} .0012042
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4154042{col 39}{space 2} .0017012{col 50}{space 1}  244.18{col 59}{space 3}0.000{col 67}{space 4} .4120698{col 80}{space 3} .4187385
{txt}{space 9}ParentsVoted2010 {c |}{col 27}{res}{space 2} .1364506{col 39}{space 2} .0180564{col 50}{space 1}    7.56{col 59}{space 3}0.000{col 67}{space 4} .1010605{col 80}{space 3} .1718407
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2641.256
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6562.600
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1353.361
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_ParentsVoted2010 WP_Vote18_Not_ParentsVoted2010
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
{col 23}ParentsVoted2010
Excluded instruments:{col 23}WP_RVote10_ParentsVoted2010
{col 23}WP_RVote10_Not_ParentsVoted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Vote18_Female WP_Vote18_Not_Female =WP_RVote10_Female WP_RVote10_Not_Female) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 94,298639) = {res} 1282.64
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2272
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2272
{txt}Residual SS             = {res} 76762.82879{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}WP_Vote18_Female {c |}{col 27}{res}{space 2} .0578389{col 39}{space 2} .0249205{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} .0089954{col 80}{space 3} .1066823
{txt}{space 5}WP_Vote18_Not_Female {c |}{col 27}{res}{space 2} .0942944{col 39}{space 2}  .020614{col 50}{space 1}    4.57{col 59}{space 3}0.000{col 67}{space 4} .0538916{col 80}{space 3} .1346973
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353929{col 39}{space 2}  .001075{col 50}{space 1}   32.92{col 59}{space 3}0.000{col 67}{space 4}  .033286{col 80}{space 3} .0374998
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224583{col 39}{space 2} .0010753{col 50}{space 1}  113.88{col 59}{space 3}0.000{col 67}{space 4} .1203507{col 80}{space 3} .1245659
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1025814{col 39}{space 2} .0012906{col 50}{space 1}   79.49{col 59}{space 3}0.000{col 67}{space 4}  .100052{col 80}{space 3} .1051109
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2222932{col 39}{space 2} .1097273{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0072308{col 80}{space 3} .4373557
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2189674{col 39}{space 2} .1097733{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0038148{col 80}{space 3} .4341201
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2142432{col 39}{space 2} .1096919{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0007499{col 80}{space 3} .4292363
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{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2591034{col 39}{space 2} .1134697{col 50}{space 1}    2.28{col 59}{space 3}0.022{col 67}{space 4}  .036706{col 80}{space 3} .4815008
{txt}{space 22}34  {c |}{col 27}{res}{space 2}  .261055{col 39}{space 2} .1134656{col 50}{space 1}    2.30{col 59}{space 3}0.021{col 67}{space 4} .0386657{col 80}{space 3} .4834444
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2604611{col 39}{space 2}  .113428{col 50}{space 1}    2.30{col 59}{space 3}0.022{col 67}{space 4} .0381454{col 80}{space 3} .4827767
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2555588{col 39}{space 2} .1133617{col 50}{space 1}    2.25{col 59}{space 3}0.024{col 67}{space 4} .0333731{col 80}{space 3} .4777445
{txt}{space 22}37  {c |}{col 27}{res}{space 2}  .260774{col 39}{space 2} .1136808{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .0379627{col 80}{space 3} .4835852
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2596114{col 39}{space 2} .1136691{col 50}{space 1}    2.28{col 59}{space 3}0.022{col 67}{space 4} .0368231{col 80}{space 3} .4823996
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2527048{col 39}{space 2} .1135004{col 50}{space 1}    2.23{col 59}{space 3}0.026{col 67}{space 4} .0302471{col 80}{space 3} .4751625
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2592357{col 39}{space 2} .1134451{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .0368865{col 80}{space 3} .4815849
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3127618{col 39}{space 2}  .134675{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} .0488027{col 80}{space 3}  .576721
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}  -2.4508{col 39}{space 2} 1.358729{col 50}{space 1}   -1.80{col 59}{space 3}0.071{col 67}{space 4} -5.11387{col 80}{space 3} .2122695
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0030182{col 39}{space 2} .0057187{col 50}{space 1}   -0.53{col 59}{space 3}0.598{col 67}{space 4}-.0142268{col 80}{space 3} .0081903
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0034414{col 39}{space 2} .0353276{col 50}{space 1}   -0.10{col 59}{space 3}0.922{col 67}{space 4}-.0726825{col 80}{space 3} .0657997
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} -.002612{col 39}{space 2} .0072074{col 50}{space 1}   -0.36{col 59}{space 3}0.717{col 67}{space 4}-.0167383{col 80}{space 3} .0115143
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0853083{col 39}{space 2}  .047006{col 50}{space 1}   -1.81{col 59}{space 3}0.070{col 67}{space 4}-.1774387{col 80}{space 3} .0068221
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0019512{col 39}{space 2}  .004859{col 50}{space 1}    0.40{col 59}{space 3}0.688{col 67}{space 4}-.0075723{col 80}{space 3} .0114746
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0166548{col 39}{space 2} .0258886{col 50}{space 1}    0.64{col 59}{space 3}0.520{col 67}{space 4}-.0340862{col 80}{space 3} .0673957
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0109537{col 39}{space 2} .0098866{col 50}{space 1}    1.11{col 59}{space 3}0.268{col 67}{space 4}-.0084237{col 80}{space 3} .0303312
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0398097{col 39}{space 2} .0443108{col 50}{space 1}    0.90{col 59}{space 3}0.369{col 67}{space 4}-.0470383{col 80}{space 3} .1266577
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0069693{col 39}{space 2} .0063445{col 50}{space 1}   -1.10{col 59}{space 3}0.272{col 67}{space 4}-.0194044{col 80}{space 3} .0054658
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0931632{col 39}{space 2} .0326121{col 50}{space 1}   -2.86{col 59}{space 3}0.004{col 67}{space 4} -.157082{col 80}{space 3}-.0292444
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0323056{col 39}{space 2} .0205599{col 50}{space 1}    1.57{col 59}{space 3}0.116{col 67}{space 4}-.0079913{col 80}{space 3} .0726025
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1680356{col 39}{space 2} .1444699{col 50}{space 1}   -1.16{col 59}{space 3}0.245{col 67}{space 4}-.4511925{col 80}{space 3} .1151213
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0017181{col 39}{space 2} .0054561{col 50}{space 1}   -0.31{col 59}{space 3}0.753{col 67}{space 4}-.0124119{col 80}{space 3} .0089757
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0309485{col 39}{space 2} .0305851{col 50}{space 1}   -1.01{col 59}{space 3}0.312{col 67}{space 4}-.0908945{col 80}{space 3} .0289975
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0006617{col 39}{space 2} .0075995{col 50}{space 1}   -0.09{col 59}{space 3}0.931{col 67}{space 4}-.0155565{col 80}{space 3}  .014233
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0187758{col 39}{space 2} .0410326{col 50}{space 1}   -0.46{col 59}{space 3}0.647{col 67}{space 4}-.0991985{col 80}{space 3}  .061647
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0021484{col 39}{space 2} .0145763{col 50}{space 1}   -0.15{col 59}{space 3}0.883{col 67}{space 4}-.0307175{col 80}{space 3} .0264206
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0217519{col 39}{space 2} .0885584{col 50}{space 1}   -0.25{col 59}{space 3}0.806{col 67}{space 4}-.1953239{col 80}{space 3} .1518202
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1303775{col 39}{space 2} .1279266{col 50}{space 1}   -1.02{col 59}{space 3}0.308{col 67}{space 4}-.3811101{col 80}{space 3}  .120355
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1214676{col 39}{space 2} .2276138{col 50}{space 1}    0.53{col 59}{space 3}0.594{col 67}{space 4}-.3246492{col 80}{space 3} .5675843
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} -.001205{col 39}{space 2} .0099947{col 50}{space 1}   -0.12{col 59}{space 3}0.904{col 67}{space 4}-.0207944{col 80}{space 3} .0183844
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0204659{col 39}{space 2} .1150554{col 50}{space 1}   -0.18{col 59}{space 3}0.859{col 67}{space 4}-.2459712{col 80}{space 3} .2050393
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0082886{col 39}{space 2} .0080301{col 50}{space 1}   -1.03{col 59}{space 3}0.302{col 67}{space 4}-.0240275{col 80}{space 3} .0074503
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0280245{col 39}{space 2} .0307061{col 50}{space 1}    0.91{col 59}{space 3}0.361{col 67}{space 4}-.0321586{col 80}{space 3} .0882076
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0040649{col 39}{space 2} .0057801{col 50}{space 1}   -0.70{col 59}{space 3}0.482{col 67}{space 4}-.0153939{col 80}{space 3}  .007264
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0057729{col 39}{space 2} .0374672{col 50}{space 1}   -0.15{col 59}{space 3}0.878{col 67}{space 4}-.0792076{col 80}{space 3} .0676619
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0035831{col 39}{space 2} .0053785{col 50}{space 1}    0.67{col 59}{space 3}0.505{col 67}{space 4}-.0069587{col 80}{space 3} .0141248
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0034999{col 39}{space 2} .0308912{col 50}{space 1}    0.11{col 59}{space 3}0.910{col 67}{space 4}-.0570459{col 80}{space 3} .0640457
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}  .006136{col 39}{space 2} .0043615{col 50}{space 1}    1.41{col 59}{space 3}0.159{col 67}{space 4}-.0024123{col 80}{space 3} .0146844
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0188037{col 39}{space 2} .0233054{col 50}{space 1}    0.81{col 59}{space 3}0.420{col 67}{space 4}-.0268741{col 80}{space 3} .0644816
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0019557{col 39}{space 2} .0310336{col 50}{space 1}   -0.06{col 59}{space 3}0.950{col 67}{space 4}-.0627807{col 80}{space 3} .0588694
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1371613{col 39}{space 2} .0640537{col 50}{space 1}    2.14{col 59}{space 3}0.032{col 67}{space 4} .0116179{col 80}{space 3} .2627048
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0123857{col 39}{space 2}  .019986{col 50}{space 1}    0.62{col 59}{space 3}0.535{col 67}{space 4}-.0267863{col 80}{space 3} .0515576
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1050204{col 39}{space 2} .0908188{col 50}{space 1}    1.16{col 59}{space 3}0.248{col 67}{space 4}-.0729818{col 80}{space 3} .2830227
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0149922{col 39}{space 2} .0169745{col 50}{space 1}    0.88{col 59}{space 3}0.377{col 67}{space 4}-.0182774{col 80}{space 3} .0482619
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0486084{col 39}{space 2} .1012402{col 50}{space 1}   -0.48{col 59}{space 3}0.631{col 67}{space 4}-.2470364{col 80}{space 3} .1498196
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0159041{col 39}{space 2} .0112697{col 50}{space 1}    1.41{col 59}{space 3}0.158{col 67}{space 4}-.0061843{col 80}{space 3} .0379924
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0171386{col 39}{space 2} .0578075{col 50}{space 1}   -0.30{col 59}{space 3}0.767{col 67}{space 4}-.1304396{col 80}{space 3} .0961624
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-8.05e-06{col 39}{space 2} .0000425{col 50}{space 1}   -0.19{col 59}{space 3}0.850{col 67}{space 4}-.0000913{col 80}{space 3} .0000752
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.66e-07{col 39}{space 2} 2.73e-07{col 50}{space 1}    3.54{col 59}{space 3}0.000{col 67}{space 4} 4.31e-07{col 80}{space 3} 1.50e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0142251{col 39}{space 2} .0012119{col 50}{space 1}   11.74{col 59}{space 3}0.000{col 67}{space 4} .0118498{col 80}{space 3} .0166005
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003178{col 39}{space 2}  .000519{col 50}{space 1}    0.61{col 59}{space 3}0.540{col 67}{space 4}-.0006995{col 80}{space 3} .0013351
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0101003{col 39}{space 2} .0014841{col 50}{space 1}    6.81{col 59}{space 3}0.000{col 67}{space 4} .0071916{col 80}{space 3} .0130091
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000781{col 39}{space 2} .0000199{col 50}{space 1}   -3.93{col 59}{space 3}0.000{col 67}{space 4} -.000117{col 80}{space 3}-.0000391
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.59e-06{col 39}{space 2} 1.72e-07{col 50}{space 1}    9.25{col 59}{space 3}0.000{col 67}{space 4} 1.26e-06{col 80}{space 3} 1.93e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0116073{col 39}{space 2} .0003804{col 50}{space 1}   30.52{col 59}{space 3}0.000{col 67}{space 4} .0108618{col 80}{space 3} .0123528
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2}   .00105{col 39}{space 2} .0001879{col 50}{space 1}    5.59{col 59}{space 3}0.000{col 67}{space 4} .0006817{col 80}{space 3} .0014183
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4163714{col 39}{space 2} .0017022{col 50}{space 1}  244.61{col 59}{space 3}0.000{col 67}{space 4} .4130352{col 80}{space 3} .4197076
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}1897.968
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6466.081
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 974.884
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_Female WP_Vote18_Not_Female
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_RVote10_Female WP_RVote10_Not_Female
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Vote18_dAge2010 WP_Vote18_Not_dAge2010 =WP_RVote10_dAge2010 WP_RVote10_Not_dAge2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 94,298639) = {res} 1282.19
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2272
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2272
{txt}Residual SS             = {res} 76757.91118{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}WP_Vote18_dAge2010 {c |}{col 27}{res}{space 2} .0797495{col 39}{space 2} .0165805{col 50}{space 1}    4.81{col 59}{space 3}0.000{col 67}{space 4} .0472523{col 80}{space 3} .1122467
{txt}{space 3}WP_Vote18_Not_dAge2010 {c |}{col 27}{res}{space 2} .0809583{col 39}{space 2} .0165835{col 50}{space 1}    4.88{col 59}{space 3}0.000{col 67}{space 4}  .048455{col 80}{space 3} .1134615
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0354374{col 39}{space 2}  .001075{col 50}{space 1}   32.97{col 59}{space 3}0.000{col 67}{space 4} .0333305{col 80}{space 3} .0375443
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2}  .122504{col 39}{space 2} .0010748{col 50}{space 1}  113.98{col 59}{space 3}0.000{col 67}{space 4} .1203974{col 80}{space 3} .1246106
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .102902{col 39}{space 2} .0012997{col 50}{space 1}   79.17{col 59}{space 3}0.000{col 67}{space 4} .1003546{col 80}{space 3} .1054494
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2236842{col 39}{space 2}  .109684{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0087066{col 80}{space 3} .4386618
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2201524{col 39}{space 2} .1097316{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0050815{col 80}{space 3} .4352233
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2153473{col 39}{space 2}  .109651{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0004343{col 80}{space 3} .4302602
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1881748{col 39}{space 2} .1098297{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4}-.0270883{col 80}{space 3} .4034379
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2017379{col 39}{space 2} .1096835{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0132386{col 80}{space 3} .4167145
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1660447{col 39}{space 2} .1106332{col 50}{space 1}    1.50{col 59}{space 3}0.133{col 67}{space 4}-.0507934{col 80}{space 3} .3828827
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2090582{col 39}{space 2} .1096555{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0058634{col 80}{space 3} .4239798
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2085344{col 39}{space 2}   .10972{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0065137{col 80}{space 3} .4235825
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1766015{col 39}{space 2} .1101161{col 50}{space 1}    1.60{col 59}{space 3}0.109{col 67}{space 4}-.0392229{col 80}{space 3} .3924259
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3685787{col 39}{space 2} .1535341{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0676562{col 80}{space 3} .6695012
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2224701{col 39}{space 2} .1098663{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0071353{col 80}{space 3} .4378049
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2282901{col 39}{space 2} .1097757{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0131329{col 80}{space 3} .4434474
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2239718{col 39}{space 2}  .109687{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0089884{col 80}{space 3} .4389552
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2163183{col 39}{space 2} .1096691{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0013699{col 80}{space 3} .4312666
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2028837{col 39}{space 2} .1096321{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0119922{col 80}{space 3} .4177596
{txt}{space 22}17  {c |}{col 27}{res}{space 2}    .2078{col 39}{space 2} .1122549{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0122165{col 80}{space 3} .4278165
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1979826{col 39}{space 2} .1106533{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0188947{col 80}{space 3} .4148599
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1999868{col 39}{space 2} .1103222{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0162416{col 80}{space 3} .4162151
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1842839{col 39}{space 2} .1099225{col 50}{space 1}    1.68{col 59}{space 3}0.094{col 67}{space 4}-.0311611{col 80}{space 3} .3997288
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2189089{col 39}{space 2} .1102604{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0028016{col 80}{space 3} .4350163
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2177029{col 39}{space 2} .1096058{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0028785{col 80}{space 3} .4325272
{txt}{space 22}23  {c |}{col 27}{res}{space 2}  .222252{col 39}{space 2} .1096008{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0074374{col 80}{space 3} .4370665
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2231479{col 39}{space 2} .1096009{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0083333{col 80}{space 3} .4379625
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2197362{col 39}{space 2} .1096157{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0048925{col 80}{space 3} .4345799
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2196679{col 39}{space 2} .1096113{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0048329{col 80}{space 3} .4345029
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2096037{col 39}{space 2} .1101882{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0063621{col 80}{space 3} .4255695
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2168715{col 39}{space 2}  .109633{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0019939{col 80}{space 3} .4317491
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2096208{col 39}{space 2}  .109626{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4} -.005243{col 80}{space 3} .4244846
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2053907{col 39}{space 2} .1098405{col 50}{space 1}    1.87{col 59}{space 3}0.061{col 67}{space 4}-.0098937{col 80}{space 3} .4206751
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2324192{col 39}{space 2} .1102087{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0164133{col 80}{space 3} .4484251
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2215034{col 39}{space 2} .1096048{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0066812{col 80}{space 3} .4363257
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2248437{col 39}{space 2} .1096021{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0100266{col 80}{space 3} .4396608
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2268065{col 39}{space 2} .1096034{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0119869{col 80}{space 3} .4416262
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2263955{col 39}{space 2} .1096042{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0115744{col 80}{space 3} .4412166
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2218194{col 39}{space 2} .1096022{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0070022{col 80}{space 3} .4366367
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2269642{col 39}{space 2} .1099328{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0114991{col 80}{space 3} .4424293
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2253628{col 39}{space 2} .1098165{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0101256{col 80}{space 3} .4406001
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2188574{col 39}{space 2} .1097242{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4}  .003801{col 80}{space 3} .4339138
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2257932{col 39}{space 2} .1097569{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0106727{col 80}{space 3} .4409137
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  .314188{col 39}{space 2} .1346069{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4} .0503623{col 80}{space 3} .5780138
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.442165{col 39}{space 2} 1.356401{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-5.100672{col 80}{space 3}  .216342
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0029124{col 39}{space 2} .0057071{col 50}{space 1}   -0.51{col 59}{space 3}0.610{col 67}{space 4}-.0140982{col 80}{space 3} .0082733
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0035695{col 39}{space 2} .0353327{col 50}{space 1}   -0.10{col 59}{space 3}0.920{col 67}{space 4}-.0728206{col 80}{space 3} .0656817
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0024685{col 39}{space 2} .0072006{col 50}{space 1}   -0.34{col 59}{space 3}0.732{col 67}{space 4}-.0165816{col 80}{space 3} .0116445
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} -.084665{col 39}{space 2} .0469996{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-.1767828{col 80}{space 3} .0074528
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0020258{col 39}{space 2} .0048544{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4}-.0074886{col 80}{space 3} .0115402
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}  .016282{col 39}{space 2} .0258594{col 50}{space 1}    0.63{col 59}{space 3}0.529{col 67}{space 4}-.0344017{col 80}{space 3} .0669657
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0114743{col 39}{space 2}   .00988{col 50}{space 1}    1.16{col 59}{space 3}0.245{col 67}{space 4}-.0078901{col 80}{space 3} .0308388
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0386415{col 39}{space 2} .0443032{col 50}{space 1}    0.87{col 59}{space 3}0.383{col 67}{space 4}-.0481916{col 80}{space 3} .1254745
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0062796{col 39}{space 2} .0063143{col 50}{space 1}   -0.99{col 59}{space 3}0.320{col 67}{space 4}-.0186554{col 80}{space 3} .0060962
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0934913{col 39}{space 2} .0325714{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-.1573303{col 80}{space 3}-.0296524
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0329108{col 39}{space 2} .0205397{col 50}{space 1}    1.60{col 59}{space 3}0.109{col 67}{space 4}-.0073465{col 80}{space 3}  .073168
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1687387{col 39}{space 2}  .144048{col 50}{space 1}   -1.17{col 59}{space 3}0.241{col 67}{space 4}-.4510688{col 80}{space 3} .1135914
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0013067{col 39}{space 2} .0054393{col 50}{space 1}   -0.24{col 59}{space 3}0.810{col 67}{space 4}-.0119675{col 80}{space 3} .0093541
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0327901{col 39}{space 2} .0305034{col 50}{space 1}   -1.07{col 59}{space 3}0.282{col 67}{space 4}-.0925758{col 80}{space 3} .0269956
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0002033{col 39}{space 2} .0075823{col 50}{space 1}   -0.03{col 59}{space 3}0.979{col 67}{space 4}-.0150644{col 80}{space 3} .0146578
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0192756{col 39}{space 2} .0409815{col 50}{space 1}   -0.47{col 59}{space 3}0.638{col 67}{space 4}-.0995983{col 80}{space 3}  .061047
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0013473{col 39}{space 2} .0145571{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.0298788{col 80}{space 3} .0271843
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0247585{col 39}{space 2} .0882085{col 50}{space 1}   -0.28{col 59}{space 3}0.779{col 67}{space 4}-.1976447{col 80}{space 3} .1481278
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}  -.13308{col 39}{space 2} .1289001{col 50}{space 1}   -1.03{col 59}{space 3}0.302{col 67}{space 4}-.3857207{col 80}{space 3} .1195606
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1086607{col 39}{space 2} .2297601{col 50}{space 1}    0.47{col 59}{space 3}0.636{col 67}{space 4}-.3416626{col 80}{space 3} .5589839
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0018209{col 39}{space 2} .0100049{col 50}{space 1}   -0.18{col 59}{space 3}0.856{col 67}{space 4}-.0214302{col 80}{space 3} .0177885
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0214635{col 39}{space 2} .1152782{col 50}{space 1}   -0.19{col 59}{space 3}0.852{col 67}{space 4}-.2474056{col 80}{space 3} .2044786
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0085827{col 39}{space 2} .0080404{col 50}{space 1}   -1.07{col 59}{space 3}0.286{col 67}{space 4}-.0243416{col 80}{space 3} .0071763
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0270328{col 39}{space 2} .0307721{col 50}{space 1}    0.88{col 59}{space 3}0.380{col 67}{space 4}-.0332796{col 80}{space 3} .0873453
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0043504{col 39}{space 2} .0057873{col 50}{space 1}   -0.75{col 59}{space 3}0.452{col 67}{space 4}-.0156933{col 80}{space 3} .0069925
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} -.005813{col 39}{space 2} .0375921{col 50}{space 1}   -0.15{col 59}{space 3}0.877{col 67}{space 4}-.0794924{col 80}{space 3} .0678664
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0032495{col 39}{space 2} .0053759{col 50}{space 1}    0.60{col 59}{space 3}0.546{col 67}{space 4}-.0072872{col 80}{space 3} .0137862
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0025084{col 39}{space 2} .0309077{col 50}{space 1}    0.08{col 59}{space 3}0.935{col 67}{space 4}-.0580698{col 80}{space 3} .0630867
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0054062{col 39}{space 2} .0043194{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.0030597{col 80}{space 3} .0138721
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0200254{col 39}{space 2}  .023327{col 50}{space 1}    0.86{col 59}{space 3}0.391{col 67}{space 4}-.0256949{col 80}{space 3} .0657457
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} -.004127{col 39}{space 2} .0309859{col 50}{space 1}   -0.13{col 59}{space 3}0.894{col 67}{space 4}-.0648586{col 80}{space 3} .0566045
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1368073{col 39}{space 2} .0654817{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0084651{col 80}{space 3} .2651495
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0121846{col 39}{space 2}  .020015{col 50}{space 1}    0.61{col 59}{space 3}0.543{col 67}{space 4}-.0270443{col 80}{space 3} .0514135
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1047864{col 39}{space 2} .0915454{col 50}{space 1}    1.14{col 59}{space 3}0.252{col 67}{space 4}  -.07464{col 80}{space 3} .2842128
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0154829{col 39}{space 2}  .016981{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.0177995{col 80}{space 3} .0487652
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0462814{col 39}{space 2} .1015457{col 50}{space 1}   -0.46{col 59}{space 3}0.649{col 67}{space 4} -.245308{col 80}{space 3} .1527453
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0146934{col 39}{space 2} .0112434{col 50}{space 1}    1.31{col 59}{space 3}0.191{col 67}{space 4}-.0073434{col 80}{space 3} .0367302
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0149815{col 39}{space 2} .0580796{col 50}{space 1}   -0.26{col 59}{space 3}0.796{col 67}{space 4}-.1288159{col 80}{space 3}  .098853
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000327{col 39}{space 2} .0000493{col 50}{space 1}    0.66{col 59}{space 3}0.507{col 67}{space 4}-.0000639{col 80}{space 3} .0001293
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.93e-07{col 39}{space 2} 2.74e-07{col 50}{space 1}    3.63{col 59}{space 3}0.000{col 67}{space 4} 4.57e-07{col 80}{space 3} 1.53e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0142739{col 39}{space 2}  .001211{col 50}{space 1}   11.79{col 59}{space 3}0.000{col 67}{space 4} .0119004{col 80}{space 3} .0166473
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003601{col 39}{space 2} .0005191{col 50}{space 1}    0.69{col 59}{space 3}0.488{col 67}{space 4}-.0006573{col 80}{space 3} .0013776
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0100409{col 39}{space 2} .0014846{col 50}{space 1}    6.76{col 59}{space 3}0.000{col 67}{space 4} .0071311{col 80}{space 3} .0129506
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000347{col 39}{space 2} .0000319{col 50}{space 1}   -1.09{col 59}{space 3}0.277{col 67}{space 4}-.0000972{col 80}{space 3} .0000278
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.61e-06{col 39}{space 2} 1.74e-07{col 50}{space 1}    9.24{col 59}{space 3}0.000{col 67}{space 4} 1.27e-06{col 80}{space 3} 1.95e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0115844{col 39}{space 2} .0003808{col 50}{space 1}   30.42{col 59}{space 3}0.000{col 67}{space 4}  .010838{col 80}{space 3} .0123309
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010691{col 39}{space 2} .0001882{col 50}{space 1}    5.68{col 59}{space 3}0.000{col 67}{space 4} .0007002{col 80}{space 3}  .001438
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4164582{col 39}{space 2} .0017002{col 50}{space 1}  244.94{col 59}{space 3}0.000{col 67}{space 4} .4131258{col 80}{space 3} .4197906
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2622.694
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6594.476
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1346.564
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_dAge2010 WP_Vote18_Not_dAge2010
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_RVote10_dAge2010 WP_RVote10_Not_dAge2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Vote18_EduCollege WP_Vote18_Not_EduCollege =WP_RVote10_EduCollege WP_RVote10_Not_EduCollege) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 94,298639) = {res} 1282.05
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2266
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2266
{txt}Residual SS             = {res} 76814.37472{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}WP_Vote18_EduCollege {c |}{col 27}{res}{space 2}-.0997425{col 39}{space 2} .0752891{col 50}{space 1}   -1.32{col 59}{space 3}0.185{col 67}{space 4}-.2473071{col 80}{space 3}  .047822
{txt}{space 1}WP_Vote18_Not_EduCollege {c |}{col 27}{res}{space 2} .0917568{col 39}{space 2} .0165671{col 50}{space 1}    5.54{col 59}{space 3}0.000{col 67}{space 4} .0592857{col 80}{space 3} .1242279
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353322{col 39}{space 2} .0010754{col 50}{space 1}   32.86{col 59}{space 3}0.000{col 67}{space 4} .0332245{col 80}{space 3} .0374399
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224956{col 39}{space 2} .0010751{col 50}{space 1}  113.93{col 59}{space 3}0.000{col 67}{space 4} .1203883{col 80}{space 3} .1246028
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1026788{col 39}{space 2} .0012907{col 50}{space 1}   79.56{col 59}{space 3}0.000{col 67}{space 4} .1001492{col 80}{space 3} .1052085
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2226167{col 39}{space 2} .1098035{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0074048{col 80}{space 3} .4378285
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2193282{col 39}{space 2} .1098509{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0040236{col 80}{space 3} .4346328
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2146278{col 39}{space 2} .1097703{col 50}{space 1}    1.96{col 59}{space 3}0.051{col 67}{space 4} -.000519{col 80}{space 3} .4297745
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1883635{col 39}{space 2} .1099487{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4}-.0271327{col 80}{space 3} .4038598
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2020321{col 39}{space 2}  .109803{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0131787{col 80}{space 3}  .417243
{txt}{space 23}7  {c |}{col 27}{res}{space 2}  .166596{col 39}{space 2} .1107519{col 50}{space 1}    1.50{col 59}{space 3}0.133{col 67}{space 4}-.0504747{col 80}{space 3} .3836667
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2091467{col 39}{space 2}  .109775{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0060092{col 80}{space 3} .4243026
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2088607{col 39}{space 2} .1098397{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4} -.006422{col 80}{space 3} .4241434
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1776684{col 39}{space 2} .1102355{col 50}{space 1}    1.61{col 59}{space 3}0.107{col 67}{space 4}-.0383901{col 80}{space 3} .3937268
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3693244{col 39}{space 2} .1539055{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0676739{col 80}{space 3} .6709748
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2215314{col 39}{space 2} .1099857{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0059625{col 80}{space 3} .4371003
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2274289{col 39}{space 2}  .109895{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0120378{col 80}{space 3}   .44282
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2231154{col 39}{space 2} .1098063{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0078982{col 80}{space 3} .4383326
{txt}{space 22}15  {c |}{col 27}{res}{space 2}  .215637{col 39}{space 2} .1097884{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0004549{col 80}{space 3} .4308191
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2028469{col 39}{space 2} .1097516{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0122631{col 80}{space 3} .4179568
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2087125{col 39}{space 2} .1123724{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0115343{col 80}{space 3} .4289593
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1977246{col 39}{space 2} .1107733{col 50}{space 1}    1.78{col 59}{space 3}0.074{col 67}{space 4}-.0193879{col 80}{space 3}  .414837
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1995197{col 39}{space 2}  .110441{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0169414{col 80}{space 3} .4159809
{txt}{space 22}20  {c |}{col 27}{res}{space 2}  .184902{col 39}{space 2} .1100423{col 50}{space 1}    1.68{col 59}{space 3}0.093{col 67}{space 4}-.0307779{col 80}{space 3} .4005818
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .4044031{col 39}{space 2} .1326326{col 50}{space 1}    3.05{col 59}{space 3}0.002{col 67}{space 4}  .144447{col 80}{space 3} .6643592
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .4054028{col 39}{space 2} .1325936{col 50}{space 1}    3.06{col 59}{space 3}0.002{col 67}{space 4}  .145523{col 80}{space 3} .6652826
{txt}{space 22}23  {c |}{col 27}{res}{space 2}  .408788{col 39}{space 2} .1323276{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4} .1494297{col 80}{space 3} .6681464
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .4087384{col 39}{space 2}  .132117{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4} .1497928{col 80}{space 3} .6676841
{txt}{space 22}25  {c |}{col 27}{res}{space 2}  .402278{col 39}{space 2} .1314452{col 50}{space 1}    3.06{col 59}{space 3}0.002{col 67}{space 4} .1446491{col 80}{space 3} .6599068
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .4011715{col 39}{space 2} .1312143{col 50}{space 1}    3.06{col 59}{space 3}0.002{col 67}{space 4} .1439951{col 80}{space 3} .6583479
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .3876582{col 39}{space 2} .1309473{col 50}{space 1}    2.96{col 59}{space 3}0.003{col 67}{space 4} .1310052{col 80}{space 3} .6443112
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .3975131{col 39}{space 2} .1310474{col 50}{space 1}    3.03{col 59}{space 3}0.002{col 67}{space 4} .1406639{col 80}{space 3} .6543623
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .3898909{col 39}{space 2} .1309601{col 50}{space 1}    2.98{col 59}{space 3}0.003{col 67}{space 4} .1332129{col 80}{space 3}  .646569
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .3825746{col 39}{space 2}  .130476{col 50}{space 1}    2.93{col 59}{space 3}0.003{col 67}{space 4} .1268454{col 80}{space 3} .6383038
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .4188235{col 39}{space 2} .1327135{col 50}{space 1}    3.16{col 59}{space 3}0.002{col 67}{space 4} .1587088{col 80}{space 3} .6789383
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .4096576{col 39}{space 2} .1327061{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4} .1495574{col 80}{space 3} .6697578
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .4124487{col 39}{space 2} .1325825{col 50}{space 1}    3.11{col 59}{space 3}0.002{col 67}{space 4} .1525908{col 80}{space 3} .6723066
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .4142387{col 39}{space 2} .1325431{col 50}{space 1}    3.13{col 59}{space 3}0.002{col 67}{space 4} .1544579{col 80}{space 3} .6740194
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .4124909{col 39}{space 2} .1322371{col 50}{space 1}    3.12{col 59}{space 3}0.002{col 67}{space 4} .1533099{col 80}{space 3} .6716719
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .405526{col 39}{space 2}  .131708{col 50}{space 1}    3.08{col 59}{space 3}0.002{col 67}{space 4}  .147382{col 80}{space 3}   .66367
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .4111127{col 39}{space 2} .1320015{col 50}{space 1}    3.11{col 59}{space 3}0.002{col 67}{space 4} .1523935{col 80}{space 3} .6698319
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .4128818{col 39}{space 2} .1327191{col 50}{space 1}    3.11{col 59}{space 3}0.002{col 67}{space 4}  .152756{col 80}{space 3} .6730076
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .4033358{col 39}{space 2} .1319836{col 50}{space 1}    3.06{col 59}{space 3}0.002{col 67}{space 4} .1446516{col 80}{space 3}   .66202
{txt}{space 22}40  {c |}{col 27}{res}{space 2}  .407182{col 39}{space 2} .1313071{col 50}{space 1}    3.10{col 59}{space 3}0.002{col 67}{space 4} .1498238{col 80}{space 3} .6645403
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3131318{col 39}{space 2} .1347956{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} .0489362{col 80}{space 3} .5773274
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.438315{col 39}{space 2}  1.35778{col 50}{space 1}   -1.80{col 59}{space 3}0.073{col 67}{space 4}-5.099526{col 80}{space 3} .2228956
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0030954{col 39}{space 2} .0057173{col 50}{space 1}   -0.54{col 59}{space 3}0.588{col 67}{space 4}-.0143011{col 80}{space 3} .0081103
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0033563{col 39}{space 2}  .035325{col 50}{space 1}   -0.10{col 59}{space 3}0.924{col 67}{space 4}-.0725924{col 80}{space 3} .0658798
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} -.002683{col 39}{space 2} .0072061{col 50}{space 1}   -0.37{col 59}{space 3}0.710{col 67}{space 4}-.0168067{col 80}{space 3} .0114407
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0850456{col 39}{space 2} .0470071{col 50}{space 1}   -1.81{col 59}{space 3}0.070{col 67}{space 4}-.1771781{col 80}{space 3}  .007087
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0018574{col 39}{space 2} .0048575{col 50}{space 1}    0.38{col 59}{space 3}0.702{col 67}{space 4}-.0076631{col 80}{space 3}  .011378
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0167745{col 39}{space 2} .0258798{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0339491{col 80}{space 3} .0674982
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}   .01096{col 39}{space 2} .0098773{col 50}{space 1}    1.11{col 59}{space 3}0.267{col 67}{space 4}-.0083992{col 80}{space 3} .0303193
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0397071{col 39}{space 2} .0443006{col 50}{space 1}    0.90{col 59}{space 3}0.370{col 67}{space 4}-.0471209{col 80}{space 3}  .126535
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0069342{col 39}{space 2} .0063175{col 50}{space 1}   -1.10{col 59}{space 3}0.272{col 67}{space 4}-.0193163{col 80}{space 3} .0054479
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0930545{col 39}{space 2} .0326001{col 50}{space 1}   -2.85{col 59}{space 3}0.004{col 67}{space 4}-.1569498{col 80}{space 3}-.0291592
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0323772{col 39}{space 2} .0205479{col 50}{space 1}    1.58{col 59}{space 3}0.115{col 67}{space 4} -.007896{col 80}{space 3} .0726505
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1679551{col 39}{space 2} .1443805{col 50}{space 1}   -1.16{col 59}{space 3}0.245{col 67}{space 4}-.4509367{col 80}{space 3} .1150266
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0017262{col 39}{space 2} .0054423{col 50}{space 1}   -0.32{col 59}{space 3}0.751{col 67}{space 4} -.012393{col 80}{space 3} .0089406
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0311009{col 39}{space 2} .0305382{col 50}{space 1}   -1.02{col 59}{space 3}0.308{col 67}{space 4}-.0909549{col 80}{space 3} .0287531
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0006135{col 39}{space 2} .0075879{col 50}{space 1}   -0.08{col 59}{space 3}0.936{col 67}{space 4}-.0154856{col 80}{space 3} .0142585
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0186919{col 39}{space 2}  .041018{col 50}{space 1}   -0.46{col 59}{space 3}0.649{col 67}{space 4}-.0990861{col 80}{space 3} .0617023
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0021113{col 39}{space 2} .0145605{col 50}{space 1}   -0.15{col 59}{space 3}0.885{col 67}{space 4}-.0306495{col 80}{space 3} .0264269
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0219618{col 39}{space 2} .0884247{col 50}{space 1}   -0.25{col 59}{space 3}0.804{col 67}{space 4}-.1952717{col 80}{space 3} .1513482
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1351613{col 39}{space 2} .1293147{col 50}{space 1}   -1.05{col 59}{space 3}0.296{col 67}{space 4}-.3886144{col 80}{space 3} .1182919
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1027617{col 39}{space 2} .2317142{col 50}{space 1}    0.44{col 59}{space 3}0.657{col 67}{space 4}-.3513916{col 80}{space 3} .5569149
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0021805{col 39}{space 2} .0100172{col 50}{space 1}   -0.22{col 59}{space 3}0.828{col 67}{space 4}-.0218139{col 80}{space 3} .0174528
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0216798{col 39}{space 2}  .115309{col 50}{space 1}   -0.19{col 59}{space 3}0.851{col 67}{space 4}-.2476822{col 80}{space 3} .2043227
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} -.008817{col 39}{space 2} .0080454{col 50}{space 1}   -1.10{col 59}{space 3}0.273{col 67}{space 4}-.0245858{col 80}{space 3} .0069518
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0266241{col 39}{space 2} .0308148{col 50}{space 1}    0.86{col 59}{space 3}0.388{col 67}{space 4} -.033772{col 80}{space 3} .0870203
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0045225{col 39}{space 2} .0057934{col 50}{space 1}   -0.78{col 59}{space 3}0.435{col 67}{space 4}-.0158774{col 80}{space 3} .0068325
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0055933{col 39}{space 2} .0376609{col 50}{space 1}   -0.15{col 59}{space 3}0.882{col 67}{space 4}-.0794077{col 80}{space 3} .0682211
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0030164{col 39}{space 2} .0053795{col 50}{space 1}    0.56{col 59}{space 3}0.575{col 67}{space 4}-.0075273{col 80}{space 3} .0135601
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0018618{col 39}{space 2} .0309342{col 50}{space 1}    0.06{col 59}{space 3}0.952{col 67}{space 4}-.0587684{col 80}{space 3}  .062492
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0049372{col 39}{space 2} .0043218{col 50}{space 1}    1.14{col 59}{space 3}0.253{col 67}{space 4}-.0035335{col 80}{space 3} .0134078
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0207812{col 39}{space 2} .0233551{col 50}{space 1}    0.89{col 59}{space 3}0.374{col 67}{space 4}-.0249942{col 80}{space 3} .0665565
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0053316{col 39}{space 2} .0309935{col 50}{space 1}   -0.17{col 59}{space 3}0.863{col 67}{space 4}-.0660779{col 80}{space 3} .0554147
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1366051{col 39}{space 2}  .066377{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4}  .006508{col 80}{space 3} .2667023
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0118706{col 39}{space 2} .0200313{col 50}{space 1}    0.59{col 59}{space 3}0.553{col 67}{space 4}-.0273902{col 80}{space 3} .0511314
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}  .104723{col 39}{space 2} .0919639{col 50}{space 1}    1.14{col 59}{space 3}0.255{col 67}{space 4}-.0755236{col 80}{space 3} .2849695
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0156469{col 39}{space 2} .0169895{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.0176521{col 80}{space 3} .0489459
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0450812{col 39}{space 2} .1017115{col 50}{space 1}   -0.44{col 59}{space 3}0.658{col 67}{space 4}-.2444329{col 80}{space 3} .1542705
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0138798{col 39}{space 2} .0112534{col 50}{space 1}    1.23{col 59}{space 3}0.217{col 67}{space 4}-.0081765{col 80}{space 3} .0359361
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0138836{col 39}{space 2} .0582496{col 50}{space 1}   -0.24{col 59}{space 3}0.812{col 67}{space 4}-.1280512{col 80}{space 3} .1002841
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000102{col 39}{space 2} .0000425{col 50}{space 1}   -0.24{col 59}{space 3}0.811{col 67}{space 4}-.0000934{col 80}{space 3} .0000731
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.11e-06{col 39}{space 2} 2.80e-07{col 50}{space 1}    3.97{col 59}{space 3}0.000{col 67}{space 4} 5.61e-07{col 80}{space 3} 1.66e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0145931{col 39}{space 2} .0012234{col 50}{space 1}   11.93{col 59}{space 3}0.000{col 67}{space 4} .0121952{col 80}{space 3}  .016991
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}  .000368{col 39}{space 2} .0005193{col 50}{space 1}    0.71{col 59}{space 3}0.479{col 67}{space 4}-.0006499{col 80}{space 3} .0013859
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0099813{col 39}{space 2} .0014835{col 50}{space 1}    6.73{col 59}{space 3}0.000{col 67}{space 4} .0070737{col 80}{space 3} .0128889
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000798{col 39}{space 2} .0000199{col 50}{space 1}   -4.01{col 59}{space 3}0.000{col 67}{space 4}-.0001188{col 80}{space 3}-.0000409
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.63e-06{col 39}{space 2} 1.76e-07{col 50}{space 1}    9.27{col 59}{space 3}0.000{col 67}{space 4} 1.29e-06{col 80}{space 3} 1.98e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0116336{col 39}{space 2} .0003809{col 50}{space 1}   30.55{col 59}{space 3}0.000{col 67}{space 4} .0108872{col 80}{space 3} .0123801
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010736{col 39}{space 2}  .000188{col 50}{space 1}    5.71{col 59}{space 3}0.000{col 67}{space 4}  .000705{col 80}{space 3} .0014421
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4163941{col 39}{space 2} .0017003{col 50}{space 1}  244.90{col 59}{space 3}0.000{col 67}{space 4} .4130616{col 80}{space 3} .4197266
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71} 140.603
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}1039.962
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  71.075
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_EduCollege WP_Vote18_Not_EduCollege
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_RVote10_EduCollege WP_RVote10_Not_EduCollege
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Vote18_Married WP_Vote18_Not_Married =WP_RVote10_Married WP_RVote10_Not_Married) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 94,298639) = {res} 1281.87
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2264
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2264
{txt}Residual SS             = {res} 76841.95827{txt}{col 55}Root MSE      = {res}   .2206

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}WP_Vote18_Married {c |}{col 27}{res}{space 2} -.025654{col 39}{space 2} .0179965{col 50}{space 1}   -1.43{col 59}{space 3}0.154{col 67}{space 4}-.0609266{col 80}{space 3} .0096185
{txt}{space 4}WP_Vote18_Not_Married {c |}{col 27}{res}{space 2} .1270284{col 39}{space 2} .0175467{col 50}{space 1}    7.24{col 59}{space 3}0.000{col 67}{space 4} .0926373{col 80}{space 3} .1614195
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0354599{col 39}{space 2}  .001076{col 50}{space 1}   32.96{col 59}{space 3}0.000{col 67}{space 4} .0333509{col 80}{space 3} .0375688
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1223332{col 39}{space 2} .0010756{col 50}{space 1}  113.73{col 59}{space 3}0.000{col 67}{space 4}  .120225{col 80}{space 3} .1244414
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1036157{col 39}{space 2}  .001294{col 50}{space 1}   80.07{col 59}{space 3}0.000{col 67}{space 4} .1010795{col 80}{space 3} .1061519
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2237122{col 39}{space 2} .1098242{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0084599{col 80}{space 3} .4389645
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2195788{col 39}{space 2} .1098728{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0042313{col 80}{space 3} .4349264
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2144383{col 39}{space 2} .1097918{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0007505{col 80}{space 3} .4296272
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1875299{col 39}{space 2} .1099705{col 50}{space 1}    1.71{col 59}{space 3}0.088{col 67}{space 4}-.0280091{col 80}{space 3} .4030689
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2017998{col 39}{space 2}  .109824{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0134521{col 80}{space 3} .4170517
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1655587{col 39}{space 2} .1107811{col 50}{space 1}    1.49{col 59}{space 3}0.135{col 67}{space 4}-.0515691{col 80}{space 3} .3826865
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2082083{col 39}{space 2} .1097961{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0069891{col 80}{space 3} .4234056
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2078607{col 39}{space 2} .1098609{col 50}{space 1}    1.89{col 59}{space 3}0.058{col 67}{space 4}-.0074636{col 80}{space 3} .4231849
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1774199{col 39}{space 2} .1102595{col 50}{space 1}    1.61{col 59}{space 3}0.108{col 67}{space 4}-.0386856{col 80}{space 3} .3935253
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3680908{col 39}{space 2} .1546515{col 50}{space 1}    2.38{col 59}{space 3}0.017{col 67}{space 4} .0649781{col 80}{space 3} .6712034
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2221453{col 39}{space 2} .1100083{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0065321{col 80}{space 3} .4377584
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2283467{col 39}{space 2} .1099164{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0129137{col 80}{space 3} .4437798
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2234364{col 39}{space 2} .1098277{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0081773{col 80}{space 3} .4386956
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2156857{col 39}{space 2} .1098095{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0004623{col 80}{space 3} .4309091
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2015067{col 39}{space 2} .1097724{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0136442{col 80}{space 3} .4166575
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2098744{col 39}{space 2}  .112414{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0104539{col 80}{space 3} .4302028
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1955319{col 39}{space 2} .1107882{col 50}{space 1}    1.76{col 59}{space 3}0.078{col 67}{space 4}-.0216099{col 80}{space 3} .4126737
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1984314{col 39}{space 2} .1104676{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0180821{col 80}{space 3} .4149449
{txt}{space 22}20  {c |}{col 27}{res}{space 2}   .18314{col 39}{space 2} .1100642{col 50}{space 1}    1.66{col 59}{space 3}0.096{col 67}{space 4}-.0325827{col 80}{space 3} .3988628
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2185565{col 39}{space 2}  .110414{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0021481{col 80}{space 3} .4349648
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2187933{col 39}{space 2} .1097466{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4}  .003693{col 80}{space 3} .4338936
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2222827{col 39}{space 2} .1097416{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0071922{col 80}{space 3} .4373732
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2228501{col 39}{space 2} .1097416{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0077596{col 80}{space 3} .4379406
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2189548{col 39}{space 2} .1097566{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4}  .003835{col 80}{space 3} .4340745
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2187946{col 39}{space 2} .1097521{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0036836{col 80}{space 3} .4339056
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2087259{col 39}{space 2} .1103257{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0075094{col 80}{space 3} .4249612
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2156977{col 39}{space 2} .1097741{col 50}{space 1}    1.96{col 59}{space 3}0.049{col 67}{space 4} .0005435{col 80}{space 3} .4308519
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2086032{col 39}{space 2} .1097665{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0065361{col 80}{space 3} .4237425
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2057525{col 39}{space 2} .1099799{col 50}{space 1}    1.87{col 59}{space 3}0.061{col 67}{space 4} -.009805{col 80}{space 3}   .42131
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2309701{col 39}{space 2} .1103463{col 50}{space 1}    2.09{col 59}{space 3}0.036{col 67}{space 4} .0146944{col 80}{space 3} .4472458
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2224733{col 39}{space 2} .1097455{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0073752{col 80}{space 3} .4375714
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2251669{col 39}{space 2} .1097429{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0100739{col 80}{space 3}   .44026
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2265623{col 39}{space 2} .1097443{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0114667{col 80}{space 3}  .441658
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2257522{col 39}{space 2}  .109745{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0106551{col 80}{space 3} .4408493
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2205478{col 39}{space 2} .1097431{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0054545{col 80}{space 3} .4356411
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2263306{col 39}{space 2} .1100774{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4}  .010582{col 80}{space 3} .4420793
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2236891{col 39}{space 2} .1099554{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0081796{col 80}{space 3} .4391987
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2178178{col 39}{space 2} .1098656{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0024842{col 80}{space 3} .4331513
{txt}{space 22}40  {c |}{col 27}{res}{space 2}  .223864{col 39}{space 2} .1098969{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0084691{col 80}{space 3} .4392588
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3128886{col 39}{space 2} .1346037{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} .0490692{col 80}{space 3} .5767081
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} -2.48817{col 39}{space 2} 1.360292{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4}-5.154304{col 80}{space 3}  .177965
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0030817{col 39}{space 2} .0056864{col 50}{space 1}   -0.54{col 59}{space 3}0.588{col 67}{space 4}-.0142269{col 80}{space 3} .0080634
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0041816{col 39}{space 2} .0353271{col 50}{space 1}   -0.12{col 59}{space 3}0.906{col 67}{space 4}-.0734217{col 80}{space 3} .0650586
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0022585{col 39}{space 2} .0072186{col 50}{space 1}   -0.31{col 59}{space 3}0.754{col 67}{space 4}-.0164068{col 80}{space 3} .0118898
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0854072{col 39}{space 2} .0468868{col 50}{space 1}   -1.82{col 59}{space 3}0.069{col 67}{space 4} -.177304{col 80}{space 3} .0064897
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0021912{col 39}{space 2} .0048663{col 50}{space 1}    0.45{col 59}{space 3}0.653{col 67}{space 4}-.0073466{col 80}{space 3} .0117289
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0148803{col 39}{space 2} .0258058{col 50}{space 1}    0.58{col 59}{space 3}0.564{col 67}{space 4}-.0356984{col 80}{space 3}  .065459
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0116529{col 39}{space 2}    .0099{col 50}{space 1}    1.18{col 59}{space 3}0.239{col 67}{space 4}-.0077509{col 80}{space 3} .0310567
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}  .039636{col 39}{space 2} .0443828{col 50}{space 1}    0.89{col 59}{space 3}0.372{col 67}{space 4}-.0473531{col 80}{space 3} .1266251
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0068712{col 39}{space 2} .0063247{col 50}{space 1}   -1.09{col 59}{space 3}0.277{col 67}{space 4}-.0192673{col 80}{space 3}  .005525
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0944871{col 39}{space 2} .0327381{col 50}{space 1}   -2.89{col 59}{space 3}0.004{col 67}{space 4}-.1586528{col 80}{space 3}-.0303213
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0330303{col 39}{space 2} .0206586{col 50}{space 1}    1.60{col 59}{space 3}0.110{col 67}{space 4}  -.00746{col 80}{space 3} .0735205
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1732022{col 39}{space 2} .1451884{col 50}{space 1}   -1.19{col 59}{space 3}0.233{col 67}{space 4}-.4577675{col 80}{space 3}  .111363
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0013987{col 39}{space 2} .0054543{col 50}{space 1}   -0.26{col 59}{space 3}0.798{col 67}{space 4}-.0120891{col 80}{space 3} .0092916
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0330439{col 39}{space 2} .0305319{col 50}{space 1}   -1.08{col 59}{space 3}0.279{col 67}{space 4}-.0928856{col 80}{space 3} .0267977
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0003534{col 39}{space 2} .0076072{col 50}{space 1}   -0.05{col 59}{space 3}0.963{col 67}{space 4}-.0152632{col 80}{space 3} .0145564
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0206692{col 39}{space 2} .0410123{col 50}{space 1}   -0.50{col 59}{space 3}0.614{col 67}{space 4}-.1010522{col 80}{space 3} .0597138
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0016274{col 39}{space 2} .0146103{col 50}{space 1}   -0.11{col 59}{space 3}0.911{col 67}{space 4}-.0302632{col 80}{space 3} .0270084
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0136993{col 39}{space 2}  .089347{col 50}{space 1}   -0.15{col 59}{space 3}0.878{col 67}{space 4}-.1888169{col 80}{space 3} .1614182
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1354248{col 39}{space 2}   .13035{col 50}{space 1}   -1.04{col 59}{space 3}0.299{col 67}{space 4}-.3909073{col 80}{space 3} .1200576
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}  .082505{col 39}{space 2} .2332675{col 50}{space 1}    0.35{col 59}{space 3}0.724{col 67}{space 4}-.3746928{col 80}{space 3} .5397028
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0018682{col 39}{space 2} .0100231{col 50}{space 1}   -0.19{col 59}{space 3}0.852{col 67}{space 4}-.0215132{col 80}{space 3} .0177768
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0218506{col 39}{space 2} .1152869{col 50}{space 1}   -0.19{col 59}{space 3}0.850{col 67}{space 4}-.2478097{col 80}{space 3} .2041085
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0093013{col 39}{space 2} .0080514{col 50}{space 1}   -1.16{col 59}{space 3}0.248{col 67}{space 4}-.0250818{col 80}{space 3} .0064793
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0254447{col 39}{space 2} .0306355{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}   -.0346{col 80}{space 3} .0854895
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0044581{col 39}{space 2} .0057974{col 50}{space 1}   -0.77{col 59}{space 3}0.442{col 67}{space 4}-.0158209{col 80}{space 3} .0069046
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0038141{col 39}{space 2} .0375798{col 50}{space 1}   -0.10{col 59}{space 3}0.919{col 67}{space 4}-.0774694{col 80}{space 3} .0698412
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0031663{col 39}{space 2} .0053753{col 50}{space 1}    0.59{col 59}{space 3}0.556{col 67}{space 4}-.0073691{col 80}{space 3} .0137017
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0023934{col 39}{space 2} .0308891{col 50}{space 1}    0.08{col 59}{space 3}0.938{col 67}{space 4}-.0581485{col 80}{space 3} .0629352
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0056553{col 39}{space 2} .0043228{col 50}{space 1}    1.31{col 59}{space 3}0.191{col 67}{space 4}-.0028173{col 80}{space 3} .0141279
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}   .02157{col 39}{space 2} .0234277{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.0243477{col 80}{space 3} .0674878
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0063703{col 39}{space 2} .0310943{col 50}{space 1}   -0.20{col 59}{space 3}0.838{col 67}{space 4}-.0673142{col 80}{space 3} .0545736
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1322828{col 39}{space 2} .0665084{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0019282{col 80}{space 3} .2626373
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0141879{col 39}{space 2} .0199772{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4} -.024967{col 80}{space 3} .0533427
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1166095{col 39}{space 2} .0933012{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.0662583{col 80}{space 3} .2994773
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0163299{col 39}{space 2}  .017057{col 50}{space 1}    0.96{col 59}{space 3}0.338{col 67}{space 4}-.0171013{col 80}{space 3} .0497611
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0379007{col 39}{space 2} .1015513{col 50}{space 1}   -0.37{col 59}{space 3}0.709{col 67}{space 4}-.2369384{col 80}{space 3}  .161137
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0152779{col 39}{space 2} .0112733{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0068176{col 80}{space 3} .0373733
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} -.012337{col 39}{space 2}  .058401{col 50}{space 1}   -0.21{col 59}{space 3}0.833{col 67}{space 4}-.1268014{col 80}{space 3} .1021274
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000332{col 39}{space 2} .0000426{col 50}{space 1}   -0.78{col 59}{space 3}0.436{col 67}{space 4}-.0001167{col 80}{space 3} .0000503
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.04e-06{col 39}{space 2} 2.76e-07{col 50}{space 1}    3.76{col 59}{space 3}0.000{col 67}{space 4} 4.96e-07{col 80}{space 3} 1.58e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .1587936{col 39}{space 2} .0124652{col 50}{space 1}   12.74{col 59}{space 3}0.000{col 67}{space 4} .1343622{col 80}{space 3} .1832249
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0004028{col 39}{space 2} .0005197{col 50}{space 1}    0.78{col 59}{space 3}0.438{col 67}{space 4}-.0006157{col 80}{space 3} .0014214
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0098012{col 39}{space 2} .0014866{col 50}{space 1}    6.59{col 59}{space 3}0.000{col 67}{space 4} .0068875{col 80}{space 3}  .012715
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000943{col 39}{space 2}   .00002{col 50}{space 1}   -4.71{col 59}{space 3}0.000{col 67}{space 4}-.0001335{col 80}{space 3}-.0000551
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.66e-06{col 39}{space 2} 1.78e-07{col 50}{space 1}    9.31{col 59}{space 3}0.000{col 67}{space 4} 1.31e-06{col 80}{space 3} 2.01e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .1561758{col 39}{space 2}  .012402{col 50}{space 1}   12.59{col 59}{space 3}0.000{col 67}{space 4} .1318683{col 80}{space 3} .1804833
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0011122{col 39}{space 2} .0001881{col 50}{space 1}    5.91{col 59}{space 3}0.000{col 67}{space 4} .0007436{col 80}{space 3} .0014808
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4156558{col 39}{space 2} .0017052{col 50}{space 1}  243.75{col 59}{space 3}0.000{col 67}{space 4} .4123136{col 80}{space 3}  .418998
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2580.954
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6520.853
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1324.550
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_Married WP_Vote18_Not_Married
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_RVote10_Married WP_RVote10_Not_Married
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Vote18_dIncome WP_Vote18_Not_dIncome =WP_RVote10_dIncome WP_RVote10_Not_dIncome) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 94,298639) = {res} 1294.86
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2275
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2275
{txt}Residual SS             = {res} 76727.80498{txt}{col 55}Root MSE      = {res}   .2204

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}WP_Vote18_dIncome {c |}{col 27}{res}{space 2}  .086718{col 39}{space 2} .0164993{col 50}{space 1}    5.26{col 59}{space 3}0.000{col 67}{space 4} .0543799{col 80}{space 3} .1190562
{txt}{space 4}WP_Vote18_Not_dIncome {c |}{col 27}{res}{space 2} .0755175{col 39}{space 2} .0166257{col 50}{space 1}    4.54{col 59}{space 3}0.000{col 67}{space 4} .0429315{col 80}{space 3} .1081034
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353047{col 39}{space 2} .0010746{col 50}{space 1}   32.85{col 59}{space 3}0.000{col 67}{space 4} .0331984{col 80}{space 3}  .037411
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2}   .12228{col 39}{space 2} .0010744{col 50}{space 1}  113.81{col 59}{space 3}0.000{col 67}{space 4} .1201742{col 80}{space 3} .1243857
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1026366{col 39}{space 2} .0012896{col 50}{space 1}   79.59{col 59}{space 3}0.000{col 67}{space 4}  .100109{col 80}{space 3} .1051642
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2189726{col 39}{space 2} .1087634{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0057995{col 80}{space 3} .4321458
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2162178{col 39}{space 2} .1088117{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0029499{col 80}{space 3} .4294858
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2117949{col 39}{space 2} .1087308{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0013143{col 80}{space 3} .4249042
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1874074{col 39}{space 2} .1089115{col 50}{space 1}    1.72{col 59}{space 3}0.085{col 67}{space 4}-.0260561{col 80}{space 3} .4008708
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2014374{col 39}{space 2} .1087642{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0117375{col 80}{space 3} .4146122
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1662826{col 39}{space 2} .1097221{col 50}{space 1}    1.52{col 59}{space 3}0.130{col 67}{space 4}-.0487697{col 80}{space 3} .3813349
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2076391{col 39}{space 2} .1087358{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}  -.00548{col 80}{space 3} .4207583
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2072543{col 39}{space 2} .1088006{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0059918{col 80}{space 3} .4205005
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1762616{col 39}{space 2}    .1092{col 50}{space 1}    1.61{col 59}{space 3}0.107{col 67}{space 4}-.0377674{col 80}{space 3} .3902905
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3658624{col 39}{space 2} .1525855{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0667992{col 80}{space 3} .6649257
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2185005{col 39}{space 2}  .108948{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0049656{col 80}{space 3} .4320355
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2263283{col 39}{space 2} .1088565{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0129726{col 80}{space 3}  .439684
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2228017{col 39}{space 2} .1087676{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4} .0096203{col 80}{space 3} .4359831
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2168495{col 39}{space 2} .1087502{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0037021{col 80}{space 3} .4299969
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2041721{col 39}{space 2} .1087129{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0089021{col 80}{space 3} .4172464
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2085425{col 39}{space 2} .1113569{col 50}{space 1}    1.87{col 59}{space 3}0.061{col 67}{space 4}-.0097139{col 80}{space 3} .4267989
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1984947{col 39}{space 2} .1097432{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0165989{col 80}{space 3} .4135883
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2009888{col 39}{space 2} .1094095{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0134506{col 80}{space 3} .4154283
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1853266{col 39}{space 2} .1090052{col 50}{space 1}    1.70{col 59}{space 3}0.089{col 67}{space 4}-.0283206{col 80}{space 3} .3989737
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2149021{col 39}{space 2} .1093062{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0006651{col 80}{space 3} .4291392
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2145687{col 39}{space 2} .1086834{col 50}{space 1}    1.97{col 59}{space 3}0.048{col 67}{space 4} .0015524{col 80}{space 3} .4275851
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2186044{col 39}{space 2} .1086799{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0055948{col 80}{space 3}  .431614
{txt}{space 22}24  {c |}{col 27}{res}{space 2}  .219594{col 39}{space 2}   .10868{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0065843{col 80}{space 3} .4326038
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2188387{col 39}{space 2}  .108696{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0057975{col 80}{space 3} .4318798
{txt}{space 22}26  {c |}{col 27}{res}{space 2}  .219708{col 39}{space 2} .1086917{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0066754{col 80}{space 3} .4327407
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2096154{col 39}{space 2} .1092749{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0045604{col 80}{space 3} .4237913
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2141364{col 39}{space 2} .1087128{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0010623{col 80}{space 3} .4272104
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2072111{col 39}{space 2} .1087057{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4} -.005849{col 80}{space 3} .4202712
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2055341{col 39}{space 2}  .108922{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}  -.00795{col 80}{space 3} .4190182
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2296199{col 39}{space 2} .1093146{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0153663{col 80}{space 3} .4438734
{txt}{space 22}32  {c |}{col 27}{res}{space 2}  .216981{col 39}{space 2}  .108683{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0039653{col 80}{space 3} .4299967
{txt}{space 22}33  {c |}{col 27}{res}{space 2}  .223062{col 39}{space 2}  .108682{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0100485{col 80}{space 3} .4360756
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2252543{col 39}{space 2} .1086833{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4}  .012238{col 80}{space 3} .4382706
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2264555{col 39}{space 2} .1086846{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0134367{col 80}{space 3} .4394742
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2227211{col 39}{space 2} .1086829{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0097057{col 80}{space 3} .4357365
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2279499{col 39}{space 2} .1090148{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0142839{col 80}{space 3} .4416159
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2250602{col 39}{space 2}  .108897{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0116252{col 80}{space 3} .4384953
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2171066{col 39}{space 2} .1088045{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0038528{col 80}{space 3} .4303604
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2264362{col 39}{space 2} .1088385{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0131157{col 80}{space 3} .4397566
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3108528{col 39}{space 2} .1334664{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4} .0492624{col 80}{space 3} .5724431
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.410985{col 39}{space 2} 1.349163{col 50}{space 1}   -1.79{col 59}{space 3}0.074{col 67}{space 4}-5.055306{col 80}{space 3} .2333359
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0025818{col 39}{space 2} .0057085{col 50}{space 1}   -0.45{col 59}{space 3}0.651{col 67}{space 4}-.0137702{col 80}{space 3} .0086067
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} -.002501{col 39}{space 2} .0353013{col 50}{space 1}   -0.07{col 59}{space 3}0.944{col 67}{space 4}-.0716906{col 80}{space 3} .0666887
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0025495{col 39}{space 2} .0071949{col 50}{space 1}   -0.35{col 59}{space 3}0.723{col 67}{space 4}-.0166513{col 80}{space 3} .0115522
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} -.085624{col 39}{space 2} .0468592{col 50}{space 1}   -1.83{col 59}{space 3}0.068{col 67}{space 4}-.1774667{col 80}{space 3} .0062187
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0019391{col 39}{space 2} .0048515{col 50}{space 1}    0.40{col 59}{space 3}0.689{col 67}{space 4}-.0075698{col 80}{space 3} .0114479
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0159904{col 39}{space 2} .0258167{col 50}{space 1}    0.62{col 59}{space 3}0.536{col 67}{space 4}-.0346095{col 80}{space 3} .0665904
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0118019{col 39}{space 2} .0098752{col 50}{space 1}    1.20{col 59}{space 3}0.232{col 67}{space 4}-.0075532{col 80}{space 3} .0311571
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}  .038834{col 39}{space 2} .0441844{col 50}{space 1}    0.88{col 59}{space 3}0.379{col 67}{space 4}-.0477662{col 80}{space 3} .1254342
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0062753{col 39}{space 2} .0063103{col 50}{space 1}   -0.99{col 59}{space 3}0.320{col 67}{space 4}-.0186434{col 80}{space 3} .0060927
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0931545{col 39}{space 2} .0325451{col 50}{space 1}   -2.86{col 59}{space 3}0.004{col 67}{space 4} -.156942{col 80}{space 3}-.0293671
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0327648{col 39}{space 2} .0205366{col 50}{space 1}    1.60{col 59}{space 3}0.111{col 67}{space 4}-.0074863{col 80}{space 3}  .073016
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} -.167225{col 39}{space 2} .1439241{col 50}{space 1}   -1.16{col 59}{space 3}0.245{col 67}{space 4}-.4493121{col 80}{space 3} .1148621
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0021986{col 39}{space 2} .0054317{col 50}{space 1}   -0.40{col 59}{space 3}0.686{col 67}{space 4}-.0128445{col 80}{space 3} .0084474
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0315229{col 39}{space 2} .0304994{col 50}{space 1}   -1.03{col 59}{space 3}0.301{col 67}{space 4}-.0913008{col 80}{space 3}  .028255
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0003854{col 39}{space 2} .0075709{col 50}{space 1}   -0.05{col 59}{space 3}0.959{col 67}{space 4}-.0152241{col 80}{space 3} .0144533
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0170405{col 39}{space 2} .0409354{col 50}{space 1}   -0.42{col 59}{space 3}0.677{col 67}{space 4}-.0972728{col 80}{space 3} .0631919
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0012921{col 39}{space 2} .0145474{col 50}{space 1}   -0.09{col 59}{space 3}0.929{col 67}{space 4}-.0298047{col 80}{space 3} .0272205
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0243446{col 39}{space 2} .0879683{col 50}{space 1}   -0.28{col 59}{space 3}0.782{col 67}{space 4}-.1967599{col 80}{space 3} .1480708
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1300126{col 39}{space 2} .1283661{col 50}{space 1}   -1.01{col 59}{space 3}0.311{col 67}{space 4}-.3816065{col 80}{space 3} .1215812
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1137443{col 39}{space 2} .2270425{col 50}{space 1}    0.50{col 59}{space 3}0.616{col 67}{space 4}-.3312527{col 80}{space 3} .5587413
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0017789{col 39}{space 2} .0100108{col 50}{space 1}   -0.18{col 59}{space 3}0.859{col 67}{space 4}-.0213999{col 80}{space 3}  .017842
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0175577{col 39}{space 2} .1151181{col 50}{space 1}   -0.15{col 59}{space 3}0.879{col 67}{space 4} -.243186{col 80}{space 3} .2080706
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0084144{col 39}{space 2} .0080309{col 50}{space 1}   -1.05{col 59}{space 3}0.295{col 67}{space 4}-.0241547{col 80}{space 3} .0073259
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0269994{col 39}{space 2} .0308165{col 50}{space 1}    0.88{col 59}{space 3}0.381{col 67}{space 4}-.0334001{col 80}{space 3}  .087399
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0043088{col 39}{space 2} .0057832{col 50}{space 1}   -0.75{col 59}{space 3}0.456{col 67}{space 4}-.0156437{col 80}{space 3} .0070261
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0057984{col 39}{space 2} .0375876{col 50}{space 1}   -0.15{col 59}{space 3}0.877{col 67}{space 4}-.0794689{col 80}{space 3} .0678722
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0031669{col 39}{space 2} .0053782{col 50}{space 1}    0.59{col 59}{space 3}0.556{col 67}{space 4}-.0073742{col 80}{space 3}  .013708
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0031815{col 39}{space 2} .0308579{col 50}{space 1}    0.10{col 59}{space 3}0.918{col 67}{space 4}-.0572992{col 80}{space 3} .0636621
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0050232{col 39}{space 2} .0043177{col 50}{space 1}    1.16{col 59}{space 3}0.245{col 67}{space 4}-.0034394{col 80}{space 3} .0134858
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0193805{col 39}{space 2} .0233245{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}-.0263348{col 80}{space 3} .0650958
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0041504{col 39}{space 2} .0309825{col 50}{space 1}   -0.13{col 59}{space 3}0.893{col 67}{space 4}-.0648752{col 80}{space 3} .0565745
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1369286{col 39}{space 2} .0651691{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4}  .009199{col 80}{space 3} .2646582
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0116461{col 39}{space 2} .0200149{col 50}{space 1}    0.58{col 59}{space 3}0.561{col 67}{space 4}-.0275825{col 80}{space 3} .0508748
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1021353{col 39}{space 2} .0913489{col 50}{space 1}    1.12{col 59}{space 3}0.264{col 67}{space 4}-.0769061{col 80}{space 3} .2811767
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0143651{col 39}{space 2} .0169864{col 50}{space 1}    0.85{col 59}{space 3}0.398{col 67}{space 4}-.0189278{col 80}{space 3} .0476579
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0449288{col 39}{space 2} .1013785{col 50}{space 1}   -0.44{col 59}{space 3}0.658{col 67}{space 4}-.2436278{col 80}{space 3} .1537702
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0143707{col 39}{space 2} .0112385{col 50}{space 1}    1.28{col 59}{space 3}0.201{col 67}{space 4}-.0076564{col 80}{space 3} .0363978
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0160478{col 39}{space 2} .0579817{col 50}{space 1}   -0.28{col 59}{space 3}0.782{col 67}{space 4}-.1296902{col 80}{space 3} .0975947
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000643{col 39}{space 2} .0000421{col 50}{space 1}   -1.53{col 59}{space 3}0.127{col 67}{space 4}-.0001468{col 80}{space 3} .0000182
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 2.16e-07{col 39}{space 2} 2.48e-07{col 50}{space 1}    0.87{col 59}{space 3}0.383{col 67}{space 4}-2.70e-07{col 80}{space 3} 7.02e-07
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0140673{col 39}{space 2} .0012096{col 50}{space 1}   11.63{col 59}{space 3}0.000{col 67}{space 4} .0116965{col 80}{space 3}  .016438
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003668{col 39}{space 2} .0005185{col 50}{space 1}    0.71{col 59}{space 3}0.479{col 67}{space 4}-.0006494{col 80}{space 3} .0013831
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0099906{col 39}{space 2} .0014833{col 50}{space 1}    6.74{col 59}{space 3}0.000{col 67}{space 4} .0070833{col 80}{space 3} .0128978
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0001239{col 39}{space 2} .0000196{col 50}{space 1}   -6.33{col 59}{space 3}0.000{col 67}{space 4}-.0001623{col 80}{space 3}-.0000855
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 8.69e-07{col 39}{space 2} 1.17e-07{col 50}{space 1}    7.44{col 59}{space 3}0.000{col 67}{space 4} 6.40e-07{col 80}{space 3} 1.10e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0114836{col 39}{space 2} .0003796{col 50}{space 1}   30.25{col 59}{space 3}0.000{col 67}{space 4} .0107396{col 80}{space 3} .0122275
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2}  .001029{col 39}{space 2} .0001877{col 50}{space 1}    5.48{col 59}{space 3}0.000{col 67}{space 4} .0006611{col 80}{space 3}  .001397
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4162192{col 39}{space 2} .0016993{col 50}{space 1}  244.93{col 59}{space 3}0.000{col 67}{space 4} .4128885{col 80}{space 3} .4195499
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2616.156
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6580.327
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1343.126
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Vote18_dIncome WP_Vote18_Not_dIncome
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_RVote10_dIncome WP_RVote10_Not_dIncome
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. 
. 
. *************************************************************************
. *** FIGURE 3 ****
. *************************************************************************
. 
. *first stages
. quietly reghdfe WP_Vote18_ParentsVoted2010  $main_controls ParentsVoted2010  WP_RVote10_ParentsVoted2010 WP_RVote10_Not_ParentsVoted2010  $insample, cluster(WP_HPG_id)  absorb($FE) res(wp_turnout_pv_res)
{txt}
{com}. predict pr_wp_turnout_pv, xb
{txt}
{com}.  
. quietly reghdfe WP_Vote18_Not_ParentsVoted2010  $main_controls ParentsVoted2010  WP_RVote10_ParentsVoted2010 WP_RVote10_Not_ParentsVoted2010  $insample, cluster(WP_HPG_id)  absorb($FE) res(wp_turnout_pvn_res)
{txt}
{com}. predict pr_wp_turnout_pvn, xb
{txt}
{com}. 
.  
. *figure
. quietly reghdfe Voted2022 $main_controls ParentsVoted2010   pr_wp_turnout_pv pr_wp_turnout_pvn $insample,  absorb($FE) cluster(WP_HPG_id)
{txt}
{com}. eststo pv: margins, at(pr_wp_turnout_pv=(0(.1)1) ParentsVoted2010=1 pr_wp_turnout_pvn=0) post 
{res}
{txt}{col 1}Predictive margins{col 54}{lalign 13:Number of obs}{col 67} = {res}{ralign 9:1,585,336}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:3._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.2}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:4._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.3}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:5._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.4}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:6._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.5}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:7._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.6}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:8._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.7}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:9._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.8}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:10._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:.9}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:11._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:1}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8817878{col 26}{space 2} .0158357{col 37}{space 1}   55.68{col 46}{space 3}0.000{col 54}{space 4} .8507505{col 67}{space 3} .9128252
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8873002{col 26}{space 2} .0141535{col 37}{space 1}   62.69{col 46}{space 3}0.000{col 54}{space 4} .8595599{col 67}{space 3} .9150404
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8928125{col 26}{space 2} .0124713{col 37}{space 1}   71.59{col 46}{space 3}0.000{col 54}{space 4} .8683692{col 67}{space 3} .9172557
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8983248{col 26}{space 2} .0107891{col 37}{space 1}   83.26{col 46}{space 3}0.000{col 54}{space 4} .8771784{col 67}{space 3} .9194711
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .9038371{col 26}{space 2} .0091071{col 37}{space 1}   99.25{col 46}{space 3}0.000{col 54}{space 4} .8859875{col 67}{space 3} .9216867
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .9093494{col 26}{space 2} .0074252{col 37}{space 1}  122.47{col 46}{space 3}0.000{col 54}{space 4} .8947962{col 67}{space 3} .9239025
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .9148617{col 26}{space 2} .0057436{col 37}{space 1}  159.28{col 46}{space 3}0.000{col 54}{space 4} .9036044{col 67}{space 3}  .926119
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .920374{col 26}{space 2} .0040627{col 37}{space 1}  226.55{col 46}{space 3}0.000{col 54}{space 4} .9124113{col 67}{space 3} .9283366
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .9258863{col 26}{space 2} .0023837{col 37}{space 1}  388.43{col 46}{space 3}0.000{col 54}{space 4} .9212144{col 67}{space 3} .9305582
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .9313986{col 26}{space 2} .0007206{col 37}{space 1} 1292.56{col 46}{space 3}0.000{col 54}{space 4} .9299863{col 67}{space 3} .9328109
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .9369109{col 26}{space 2} .0010087{col 37}{space 1}  928.88{col 46}{space 3}0.000{col 54}{space 4}  .934934{col 67}{space 3} .9388878
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. quietly reghdfe Voted2022  $main_controls ParentsVoted2010 pr_wp_turnout_pv pr_wp_turnout_pvn $insample,  absorb($FE) cluster(WP_HPG_id)
{txt}
{com}. eststo pvn: margins, at(pr_wp_turnout_pvn=(0(.1)1) ParentsVoted2010=0 pr_wp_turnout_pv=0) post
{res}
{txt}{col 1}Predictive margins{col 54}{lalign 13:Number of obs}{col 67} = {res}{ralign 9:1,585,336}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.1}}
{lalign 8:3._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.2}}
{lalign 8:4._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.3}}
{lalign 8:5._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.4}}
{lalign 8:6._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.5}}
{lalign 8:7._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.6}}
{lalign 8:8._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.7}}
{lalign 8:9._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.8}}
{lalign 8:10._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:.9}}
{lalign 8:11._at: }{space 0}{lalign 16:ParentsVoted2010} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_pv} = {res:{ralign 2:0}}
{lalign 8:}{space 0}{lalign 16:pr_wp_turnout_~n} = {res:{ralign 2:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7453373{col 26}{space 2} .0218215{col 37}{space 1}   34.16{col 46}{space 3}0.000{col 54}{space 4} .7025678{col 67}{space 3} .7881067
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .7639183{col 26}{space 2} .0194971{col 37}{space 1}   39.18{col 46}{space 3}0.000{col 54}{space 4} .7257047{col 67}{space 3}  .802132
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .7824994{col 26}{space 2} .0171729{col 37}{space 1}   45.57{col 46}{space 3}0.000{col 54}{space 4} .7488411{col 67}{space 3} .8161577
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8010805{col 26}{space 2} .0148491{col 37}{space 1}   53.95{col 46}{space 3}0.000{col 54}{space 4} .7719769{col 67}{space 3} .8301841
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8196615{col 26}{space 2} .0125257{col 37}{space 1}   65.44{col 46}{space 3}0.000{col 54}{space 4} .7951117{col 67}{space 3} .8442114
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8382426{col 26}{space 2} .0102031{col 37}{space 1}   82.16{col 46}{space 3}0.000{col 54}{space 4} .8182449{col 67}{space 3} .8582403
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8568237{col 26}{space 2} .0078821{col 37}{space 1}  108.70{col 46}{space 3}0.000{col 54}{space 4}  .841375{col 67}{space 3} .8722724
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .8754048{col 26}{space 2} .0055647{col 37}{space 1}  157.32{col 46}{space 3}0.000{col 54}{space 4} .8644982{col 67}{space 3} .8863113
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .8939858{col 26}{space 2} .0032582{col 37}{space 1}  274.38{col 46}{space 3}0.000{col 54}{space 4} .8875998{col 67}{space 3} .9003718
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .9125669{col 26}{space 2} .0010392{col 37}{space 1}  878.11{col 46}{space 3}0.000{col 54}{space 4}   .91053{col 67}{space 3} .9146038
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .931148{col 26}{space 2} .0015353{col 37}{space 1}  606.49{col 46}{space 3}0.000{col 54}{space 4} .9281388{col 67}{space 3} .9341571
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. coefplot (pv, label(Parents voted in 2010) color(black) ciopts(lcolor(black) lp(dot))) (pvn, label(Parents did not vote in 2010) color(gs8) ciopts(lcolor(gs8) lp(dot))), at xtitle("Workplace turnout") ytitle("Turnout") ylabel(,nogrid) xlabel(,nogrid) legend(position(0) bplacement(seast))
{res}{txt}
{com}. 
. 
. 
. ******************************************************************
. *********** TABLE 3 Placebo tests ***********
. ******************************************************************
. 
. * Placebo A - ranomly select any HPG which is the same type
. use  Data/data_placebo_A_analysis_coworker_peers, replace
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        231        0.01        0.01
{txt}          2 {c |}{res}     22,305        1.41        1.42
{txt}          3 {c |}{res}     28,590        1.80        3.23
{txt}          4 {c |}{res}     87,761        5.54        8.76
{txt}          5 {c |}{res}     38,803        2.45       11.21
{txt}          6 {c |}{res}     91,355        5.76       16.98
{txt}          7 {c |}{res}      6,643        0.42       17.39
{txt}          8 {c |}{res}    155,187        9.79       27.19
{txt}          9 {c |}{res}     86,067        5.43       32.62
{txt}         10 {c |}{res}     22,401        1.41       34.03
{txt}         11 {c |}{res}        277        0.02       34.05
{txt}         12 {c |}{res}      7,033        0.44       34.49
{txt}         13 {c |}{res}     22,209        1.40       35.89
{txt}         14 {c |}{res}     41,682        2.63       38.52
{txt}         15 {c |}{res}     60,133        3.79       42.32
{txt}         16 {c |}{res}    227,333       14.34       56.66
{txt}         17 {c |}{res}      2,621        0.17       56.82
{txt}         18 {c |}{res}      6,074        0.38       57.21
{txt}         19 {c |}{res}     14,392        0.91       58.12
{txt}         20 {c |}{res}     27,170        1.71       59.83
{txt}         21 {c |}{res}        342        0.02       59.85
{txt}         22 {c |}{res}     37,095        2.34       62.19
{txt}         23 {c |}{res}    125,529        7.92       70.11
{txt}         24 {c |}{res}     58,678        3.70       73.82
{txt}         25 {c |}{res}      8,825        0.56       74.37
{txt}         26 {c |}{res}     11,906        0.75       75.12
{txt}         27 {c |}{res}        359        0.02       75.15
{txt}         28 {c |}{res}      4,529        0.29       75.43
{txt}         29 {c |}{res}      6,343        0.40       75.83
{txt}         30 {c |}{res}      1,205        0.08       75.91
{txt}         31 {c |}{res}        189        0.01       75.92
{txt}         32 {c |}{res}     35,205        2.22       78.14
{txt}         33 {c |}{res}    233,682       14.74       92.89
{txt}         34 {c |}{res}     55,831        3.52       96.41
{txt}         35 {c |}{res}     24,392        1.54       97.95
{txt}         36 {c |}{res}     28,603        1.80       99.75
{txt}         37 {c |}{res}        511        0.03       99.78
{txt}         38 {c |}{res}        637        0.04       99.82
{txt}         39 {c |}{res}      1,500        0.09       99.92
{txt}         40 {c |}{res}      1,293        0.08      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,584,921      100.00
{txt}{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}279506{txt}{col 55}Number of obs = {res} 1584921
{txt}{col 55}F( 93,279505) = {res} 1333.87
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99304.72461{txt}{col 55}Centered R2   = {res}  0.2274
{txt}Total (uncentered) SS   = {res} 99304.72461{txt}{col 55}Uncentered R2 = {res}  0.2274
{txt}Residual SS             = {res} 76723.63489{txt}{col 55}Root MSE      = {res}   .2204

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} -.038136{col 39}{space 2} .0168995{col 50}{space 1}   -2.26{col 59}{space 3}0.024{col 67}{space 4}-.0712586{col 80}{space 3}-.0050134
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0361415{col 39}{space 2} .0010701{col 50}{space 1}   33.78{col 59}{space 3}0.000{col 67}{space 4} .0340443{col 80}{space 3} .0382388
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1230472{col 39}{space 2} .0010614{col 50}{space 1}  115.92{col 59}{space 3}0.000{col 67}{space 4} .1209668{col 80}{space 3} .1251276
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1027267{col 39}{space 2} .0012798{col 50}{space 1}   80.27{col 59}{space 3}0.000{col 67}{space 4} .1002183{col 80}{space 3}  .105235
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .0303412{col 39}{space 2} .1256154{col 50}{space 1}    0.24{col 59}{space 3}0.809{col 67}{space 4}-.2158616{col 80}{space 3}  .276544
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .0198161{col 39}{space 2} .1256609{col 50}{space 1}    0.16{col 59}{space 3}0.875{col 67}{space 4}-.2264758{col 80}{space 3}  .266108
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .0220179{col 39}{space 2}  .125548{col 50}{space 1}    0.18{col 59}{space 3}0.861{col 67}{space 4}-.2240527{col 80}{space 3} .2680884
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0014222{col 39}{space 2}  .125795{col 50}{space 1}    0.01{col 59}{space 3}0.991{col 67}{space 4}-.2451326{col 80}{space 3}  .247977
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0046482{col 39}{space 2} .1255759{col 50}{space 1}   -0.04{col 59}{space 3}0.970{col 67}{space 4}-.2507736{col 80}{space 3} .2414772
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .0116948{col 39}{space 2} .1269367{col 50}{space 1}    0.09{col 59}{space 3}0.927{col 67}{space 4}-.2370976{col 80}{space 3} .2604872
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0044698{col 39}{space 2} .1255452{col 50}{space 1}    0.04{col 59}{space 3}0.972{col 67}{space 4}-.2415953{col 80}{space 3} .2505349
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .0103665{col 39}{space 2} .1256166{col 50}{space 1}    0.08{col 59}{space 3}0.934{col 67}{space 4}-.2358387{col 80}{space 3} .2565716
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0224336{col 39}{space 2} .1260629{col 50}{space 1}   -0.18{col 59}{space 3}0.859{col 67}{space 4}-.2695135{col 80}{space 3} .2246462
{txt}{space 22}11  {c |}{col 27}{res}{space 2}-.0617755{col 39}{space 2} .1714203{col 50}{space 1}   -0.36{col 59}{space 3}0.719{col 67}{space 4}-.3977546{col 80}{space 3} .2742036
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .0351863{col 39}{space 2} .1259302{col 50}{space 1}    0.28{col 59}{space 3}0.780{col 67}{space 4}-.2116334{col 80}{space 3}  .282006
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0208533{col 39}{space 2} .1257094{col 50}{space 1}    0.17{col 59}{space 3}0.868{col 67}{space 4}-.2255337{col 80}{space 3} .2672404
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0305034{col 39}{space 2} .1256042{col 50}{space 1}    0.24{col 59}{space 3}0.808{col 67}{space 4}-.2156774{col 80}{space 3} .2766842
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .0275569{col 39}{space 2} .1255897{col 50}{space 1}    0.22{col 59}{space 3}0.826{col 67}{space 4}-.2185955{col 80}{space 3} .2737092
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .0076228{col 39}{space 2} .1255195{col 50}{space 1}    0.06{col 59}{space 3}0.952{col 67}{space 4}-.2383919{col 80}{space 3} .2536375
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .0150237{col 39}{space 2} .1291213{col 50}{space 1}    0.12{col 59}{space 3}0.907{col 67}{space 4}-.2380505{col 80}{space 3} .2680979
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .0420318{col 39}{space 2}  .126809{col 50}{space 1}    0.33{col 59}{space 3}0.740{col 67}{space 4}-.2065103{col 80}{space 3}  .290574
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .0197052{col 39}{space 2} .1263936{col 50}{space 1}    0.16{col 59}{space 3}0.876{col 67}{space 4}-.2280228{col 80}{space 3} .2674332
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0075421{col 39}{space 2} .1259244{col 50}{space 1}   -0.06{col 59}{space 3}0.952{col 67}{space 4}-.2543505{col 80}{space 3} .2392663
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .0265579{col 39}{space 2}  .126264{col 50}{space 1}    0.21{col 59}{space 3}0.833{col 67}{space 4} -.220916{col 80}{space 3} .2740318
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .0272684{col 39}{space 2} .1254823{col 50}{space 1}    0.22{col 59}{space 3}0.828{col 67}{space 4}-.2186734{col 80}{space 3} .2732102
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .0315548{col 39}{space 2} .1254771{col 50}{space 1}    0.25{col 59}{space 3}0.801{col 67}{space 4}-.2143767{col 80}{space 3} .2774864
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .0319485{col 39}{space 2} .1254767{col 50}{space 1}    0.25{col 59}{space 3}0.799{col 67}{space 4}-.2139823{col 80}{space 3} .2778794
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .0267122{col 39}{space 2} .1254886{col 50}{space 1}    0.21{col 59}{space 3}0.831{col 67}{space 4} -.219242{col 80}{space 3} .2726664
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .0262563{col 39}{space 2} .1254834{col 50}{space 1}    0.21{col 59}{space 3}0.834{col 67}{space 4}-.2196877{col 80}{space 3} .2722003
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .0135128{col 39}{space 2} .1259844{col 50}{space 1}    0.11{col 59}{space 3}0.915{col 67}{space 4}-.2334131{col 80}{space 3} .2604388
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .0223473{col 39}{space 2} .1255065{col 50}{space 1}    0.18{col 59}{space 3}0.859{col 67}{space 4}-.2236421{col 80}{space 3} .2683366
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .0149009{col 39}{space 2}  .125496{col 50}{space 1}    0.12{col 59}{space 3}0.905{col 67}{space 4}-.2310678{col 80}{space 3} .2608696
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .0083969{col 39}{space 2} .1257453{col 50}{space 1}    0.07{col 59}{space 3}0.947{col 67}{space 4}-.2380604{col 80}{space 3} .2548543
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .0412257{col 39}{space 2} .1258745{col 50}{space 1}    0.33{col 59}{space 3}0.743{col 67}{space 4}-.2054849{col 80}{space 3} .2879363
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .0314872{col 39}{space 2} .1254842{col 50}{space 1}    0.25{col 59}{space 3}0.802{col 67}{space 4}-.2144583{col 80}{space 3} .2774328
{txt}{space 22}33  {c |}{col 27}{res}{space 2}  .034788{col 39}{space 2} .1254815{col 50}{space 1}    0.28{col 59}{space 3}0.782{col 67}{space 4}-.2111524{col 80}{space 3} .2807283
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .0368107{col 39}{space 2} .1254823{col 50}{space 1}    0.29{col 59}{space 3}0.769{col 67}{space 4}-.2091311{col 80}{space 3} .2827526
{txt}{space 22}35  {c |}{col 27}{res}{space 2}  .035676{col 39}{space 2} .1254837{col 50}{space 1}    0.28{col 59}{space 3}0.776{col 67}{space 4}-.2102686{col 80}{space 3} .2816205
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .0296079{col 39}{space 2} .1254799{col 50}{space 1}    0.24{col 59}{space 3}0.813{col 67}{space 4}-.2163293{col 80}{space 3}  .275545
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .0364465{col 39}{space 2} .1257235{col 50}{space 1}    0.29{col 59}{space 3}0.772{col 67}{space 4}-.2099681{col 80}{space 3} .2828611
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .0349392{col 39}{space 2} .1256617{col 50}{space 1}    0.28{col 59}{space 3}0.781{col 67}{space 4}-.2113542{col 80}{space 3} .2812326
{txt}{space 22}39  {c |}{col 27}{res}{space 2}  .027555{col 39}{space 2} .1255773{col 50}{space 1}    0.22{col 59}{space 3}0.826{col 67}{space 4}-.2185731{col 80}{space 3}  .273683
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .0320689{col 39}{space 2} .1255846{col 50}{space 1}    0.26{col 59}{space 3}0.798{col 67}{space 4}-.2140734{col 80}{space 3} .2782112
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  .058896{col 39}{space 2} .1758936{col 50}{space 1}    0.33{col 59}{space 3}0.738{col 67}{space 4}-.2858506{col 80}{space 3} .4036427
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-1.879207{col 39}{space 2} 1.835991{col 50}{space 1}   -1.02{col 59}{space 3}0.306{col 67}{space 4}-5.477699{col 80}{space 3} 1.719284
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0036449{col 39}{space 2} .0078867{col 50}{space 1}   -0.46{col 59}{space 3}0.644{col 67}{space 4}-.0191026{col 80}{space 3} .0118129
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0298507{col 39}{space 2} .0346439{col 50}{space 1}    0.86{col 59}{space 3}0.389{col 67}{space 4}-.0380504{col 80}{space 3} .0977518
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0039755{col 39}{space 2} .0090476{col 50}{space 1}    0.44{col 59}{space 3}0.660{col 67}{space 4}-.0137574{col 80}{space 3} .0217085
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0172531{col 39}{space 2} .0376977{col 50}{space 1}   -0.46{col 59}{space 3}0.647{col 67}{space 4}-.0911395{col 80}{space 3} .0566332
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}-.0016058{col 39}{space 2} .0059991{col 50}{space 1}   -0.27{col 59}{space 3}0.789{col 67}{space 4}-.0133639{col 80}{space 3} .0101524
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0326748{col 39}{space 2} .0291077{col 50}{space 1}    1.12{col 59}{space 3}0.262{col 67}{space 4}-.0243755{col 80}{space 3} .0897251
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}-.0084737{col 39}{space 2} .0125031{col 50}{space 1}   -0.68{col 59}{space 3}0.498{col 67}{space 4}-.0329793{col 80}{space 3}  .016032
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0522233{col 39}{space 2} .0630997{col 50}{space 1}   -0.83{col 59}{space 3}0.408{col 67}{space 4}-.1758971{col 80}{space 3} .0714504
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0011037{col 39}{space 2} .0074308{col 50}{space 1}   -0.15{col 59}{space 3}0.882{col 67}{space 4}-.0156679{col 80}{space 3} .0134604
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0076154{col 39}{space 2} .0391842{col 50}{space 1}   -0.19{col 59}{space 3}0.846{col 67}{space 4}-.0844154{col 80}{space 3} .0691846
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}-.0402425{col 39}{space 2} .0263782{col 50}{space 1}   -1.53{col 59}{space 3}0.127{col 67}{space 4} -.091943{col 80}{space 3} .0114579
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .1214138{col 39}{space 2} .1450983{col 50}{space 1}    0.84{col 59}{space 3}0.403{col 67}{space 4}-.1629749{col 80}{space 3} .4058025
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0024932{col 39}{space 2} .0064581{col 50}{space 1}    0.39{col 59}{space 3}0.699{col 67}{space 4}-.0101645{col 80}{space 3} .0151509
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} .0442058{col 39}{space 2} .0338469{col 50}{space 1}    1.31{col 59}{space 3}0.192{col 67}{space 4}-.0221332{col 80}{space 3} .1105448
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0079239{col 39}{space 2}  .008889{col 50}{space 1}   -0.89{col 59}{space 3}0.373{col 67}{space 4}-.0253461{col 80}{space 3} .0094982
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0122601{col 39}{space 2} .0466076{col 50}{space 1}    0.26{col 59}{space 3}0.793{col 67}{space 4}-.0790895{col 80}{space 3} .1036097
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0144733{col 39}{space 2}  .017208{col 50}{space 1}   -0.84{col 59}{space 3}0.400{col 67}{space 4}-.0482004{col 80}{space 3} .0192539
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0908347{col 39}{space 2} .0964051{col 50}{space 1}   -0.94{col 59}{space 3}0.346{col 67}{space 4}-.2797859{col 80}{space 3} .0981166
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .1518206{col 39}{space 2} .1426054{col 50}{space 1}    1.06{col 59}{space 3}0.287{col 67}{space 4}-.1276821{col 80}{space 3} .4313233
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .5786487{col 39}{space 2} .3951267{col 50}{space 1}    1.46{col 59}{space 3}0.143{col 67}{space 4}-.1957887{col 80}{space 3} 1.353086
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0104014{col 39}{space 2} .0140132{col 50}{space 1}   -0.74{col 59}{space 3}0.458{col 67}{space 4}-.0378668{col 80}{space 3}  .017064
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0253087{col 39}{space 2} .0599491{col 50}{space 1}   -0.42{col 59}{space 3}0.673{col 67}{space 4}-.1428073{col 80}{space 3} .0921898
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0082916{col 39}{space 2}  .009796{col 50}{space 1}    0.85{col 59}{space 3}0.397{col 67}{space 4}-.0109082{col 80}{space 3} .0274914
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0581086{col 39}{space 2} .0451012{col 50}{space 1}    1.29{col 59}{space 3}0.198{col 67}{space 4}-.0302886{col 80}{space 3} .1465057
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0056283{col 39}{space 2} .0074496{col 50}{space 1}   -0.76{col 59}{space 3}0.450{col 67}{space 4}-.0202292{col 80}{space 3} .0089726
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0419942{col 39}{space 2} .0517815{col 50}{space 1}   -0.81{col 59}{space 3}0.417{col 67}{space 4}-.1434846{col 80}{space 3} .0594961
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}-.0051462{col 39}{space 2} .0071216{col 50}{space 1}   -0.72{col 59}{space 3}0.470{col 67}{space 4}-.0191045{col 80}{space 3}  .008812
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} -.042751{col 39}{space 2}  .045015{col 50}{space 1}   -0.95{col 59}{space 3}0.342{col 67}{space 4}-.1309792{col 80}{space 3} .0454772
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0002512{col 39}{space 2}  .005286{col 50}{space 1}    0.05{col 59}{space 3}0.962{col 67}{space 4}-.0101092{col 80}{space 3} .0106117
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0382357{col 39}{space 2} .0348748{col 50}{space 1}   -1.10{col 59}{space 3}0.273{col 67}{space 4}-.1065893{col 80}{space 3}  .030118
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0143139{col 39}{space 2}   .03828{col 50}{space 1}   -0.37{col 59}{space 3}0.708{col 67}{space 4}-.0893417{col 80}{space 3} .0607139
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}-.2822649{col 39}{space 2} .2720833{col 50}{space 1}   -1.04{col 59}{space 3}0.300{col 67}{space 4}-.8155406{col 80}{space 3} .2510108
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}-.0421728{col 39}{space 2} .0241334{col 50}{space 1}   -1.75{col 59}{space 3}0.081{col 67}{space 4}-.0894737{col 80}{space 3} .0051281
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}-.1799837{col 39}{space 2} .2257493{col 50}{space 1}   -0.80{col 59}{space 3}0.425{col 67}{space 4}-.6224461{col 80}{space 3} .2624787
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0110772{col 39}{space 2} .0206335{col 50}{space 1}   -0.54{col 59}{space 3}0.591{col 67}{space 4}-.0515183{col 80}{space 3} .0293638
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0314951{col 39}{space 2} .0975548{col 50}{space 1}   -0.32{col 59}{space 3}0.747{col 67}{space 4}-.2226998{col 80}{space 3} .1597095
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}-.0006153{col 39}{space 2} .0143642{col 50}{space 1}   -0.04{col 59}{space 3}0.966{col 67}{space 4}-.0287686{col 80}{space 3} .0275381
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0587782{col 39}{space 2} .0746007{col 50}{space 1}   -0.79{col 59}{space 3}0.431{col 67}{space 4}-.2049935{col 80}{space 3} .0874371
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000438{col 39}{space 2} .0000494{col 50}{space 1}   -0.89{col 59}{space 3}0.375{col 67}{space 4}-.0001406{col 80}{space 3} .0000529
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.42e-06{col 39}{space 2} 3.37e-07{col 50}{space 1}    4.21{col 59}{space 3}0.000{col 67}{space 4} 7.58e-07{col 80}{space 3} 2.08e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0125757{col 39}{space 2} .0014702{col 50}{space 1}    8.55{col 59}{space 3}0.000{col 67}{space 4} .0096942{col 80}{space 3} .0154572
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0002849{col 39}{space 2}  .000615{col 50}{space 1}    0.46{col 59}{space 3}0.643{col 67}{space 4}-.0009206{col 80}{space 3} .0014904
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0012175{col 39}{space 2} .0015978{col 50}{space 1}   -0.76{col 59}{space 3}0.446{col 67}{space 4}-.0043491{col 80}{space 3}  .001914
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000691{col 39}{space 2} .0000195{col 50}{space 1}   -3.55{col 59}{space 3}0.000{col 67}{space 4}-.0001073{col 80}{space 3} -.000031
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.69e-06{col 39}{space 2} 1.58e-07{col 50}{space 1}   10.68{col 59}{space 3}0.000{col 67}{space 4} 1.38e-06{col 80}{space 3} 2.00e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0118246{col 39}{space 2} .0003789{col 50}{space 1}   31.20{col 59}{space 3}0.000{col 67}{space 4} .0110819{col 80}{space 3} .0125674
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010714{col 39}{space 2} .0001875{col 50}{space 1}    5.72{col 59}{space 3}0.000{col 67}{space 4}  .000704{col 80}{space 3} .0014388
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4177705{col 39}{space 2} .0016732{col 50}{space 1}  249.69{col 59}{space 3}0.000{col 67}{space 4} .4144912{col 80}{space 3} .4210499
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}1775.499
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.8e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1822.109
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. * Placebo B ranomly select a HPG of the same type in the same munic
. use  Data/data_placebo_B_analysis_coworker_peers, replace
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         29        0.00        0.00
{txt}          2 {c |}{res}     21,527        1.39        1.39
{txt}          3 {c |}{res}     27,578        1.78        3.18
{txt}          4 {c |}{res}     86,487        5.59        8.76
{txt}          5 {c |}{res}     37,379        2.42       11.18
{txt}          6 {c |}{res}     90,257        5.83       17.01
{txt}          7 {c |}{res}      5,663        0.37       17.38
{txt}          8 {c |}{res}    153,664        9.93       27.31
{txt}          9 {c |}{res}     84,242        5.44       32.75
{txt}         10 {c |}{res}     21,153        1.37       34.12
{txt}         11 {c |}{res}         82        0.01       34.12
{txt}         12 {c |}{res}      6,407        0.41       34.54
{txt}         13 {c |}{res}     21,237        1.37       35.91
{txt}         14 {c |}{res}     40,646        2.63       38.54
{txt}         15 {c |}{res}     58,966        3.81       42.35
{txt}         16 {c |}{res}    225,473       14.57       56.92
{txt}         17 {c |}{res}      1,996        0.13       57.05
{txt}         18 {c |}{res}      5,028        0.32       57.37
{txt}         19 {c |}{res}     12,730        0.82       58.19
{txt}         20 {c |}{res}     25,967        1.68       59.87
{txt}         21 {c |}{res}        135        0.01       59.88
{txt}         22 {c |}{res}     36,081        2.33       62.21
{txt}         23 {c |}{res}    123,985        8.01       70.22
{txt}         24 {c |}{res}     57,370        3.71       73.93
{txt}         25 {c |}{res}      8,155        0.53       74.46
{txt}         26 {c |}{res}     11,206        0.72       75.18
{txt}         27 {c |}{res}        184        0.01       75.19
{txt}         28 {c |}{res}      3,793        0.25       75.44
{txt}         29 {c |}{res}      5,289        0.34       75.78
{txt}         30 {c |}{res}        911        0.06       75.84
{txt}         31 {c |}{res}         34        0.00       75.84
{txt}         32 {c |}{res}     33,942        2.19       78.04
{txt}         33 {c |}{res}    231,212       14.94       92.98
{txt}         34 {c |}{res}     54,763        3.54       96.52
{txt}         35 {c |}{res}     23,475        1.52       98.03
{txt}         36 {c |}{res}     27,791        1.80       99.83
{txt}         37 {c |}{res}        302        0.02       99.85
{txt}         38 {c |}{res}        355        0.02       99.87
{txt}         39 {c |}{res}        993        0.06       99.94
{txt}         40 {c |}{res}      1,005        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,547,492      100.00
{txt}{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}293109{txt}{col 55}Number of obs = {res} 1547492
{txt}{col 55}F( 93,293108) = {res} 1317.44
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 96815.87233{txt}{col 55}Centered R2   = {res}  0.2272
{txt}Total (uncentered) SS   = {res} 96815.87233{txt}{col 55}Uncentered R2 = {res}  0.2272
{txt}Residual SS             = {res} 74816.54114{txt}{col 55}Root MSE      = {res}   .2203

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0065381{col 39}{space 2} .0150915{col 50}{space 1}    0.43{col 59}{space 3}0.665{col 67}{space 4}-.0230408{col 80}{space 3}  .036117
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0361291{col 39}{space 2} .0010855{col 50}{space 1}   33.28{col 59}{space 3}0.000{col 67}{space 4} .0340015{col 80}{space 3} .0382566
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1230549{col 39}{space 2}  .001075{col 50}{space 1}  114.47{col 59}{space 3}0.000{col 67}{space 4}  .120948{col 80}{space 3} .1251618
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1027621{col 39}{space 2} .0012967{col 50}{space 1}   79.25{col 59}{space 3}0.000{col 67}{space 4} .1002207{col 80}{space 3} .1053035
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .4898144{col 39}{space 2} .2124559{col 50}{space 1}    2.31{col 59}{space 3}0.021{col 67}{space 4} .0734068{col 80}{space 3}  .906222
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{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .5512387{col 39}{space 2} .2574527{col 50}{space 1}    2.14{col 59}{space 3}0.032{col 67}{space 4} .0466387{col 80}{space 3} 1.055839
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} 11.36494{col 39}{space 2} 6.212187{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.8107697{col 80}{space 3} 23.54066
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0016982{col 39}{space 2} .0070174{col 50}{space 1}   -0.24{col 59}{space 3}0.809{col 67}{space 4} -.015452{col 80}{space 3} .0120557
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0159561{col 39}{space 2}   .04047{col 50}{space 1}   -0.39{col 59}{space 3}0.693{col 67}{space 4}-.0952762{col 80}{space 3}  .063364
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0048627{col 39}{space 2} .0075099{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0098565{col 80}{space 3} .0195819
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0135426{col 39}{space 2} .0295423{col 50}{space 1}   -0.46{col 59}{space 3}0.647{col 67}{space 4}-.0714447{col 80}{space 3} .0443596
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0064858{col 39}{space 2}  .004879{col 50}{space 1}    1.33{col 59}{space 3}0.184{col 67}{space 4}-.0030769{col 80}{space 3} .0160486
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}-.0523793{col 39}{space 2} .0298438{col 50}{space 1}   -1.76{col 59}{space 3}0.079{col 67}{space 4}-.1108723{col 80}{space 3} .0061137
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}-.0001223{col 39}{space 2} .0098821{col 50}{space 1}   -0.01{col 59}{space 3}0.990{col 67}{space 4}-.0194909{col 80}{space 3} .0192464
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0167361{col 39}{space 2} .0493824{col 50}{space 1}   -0.34{col 59}{space 3}0.735{col 67}{space 4}-.1135242{col 80}{space 3}  .080052
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0017171{col 39}{space 2} .0064272{col 50}{space 1}   -0.27{col 59}{space 3}0.789{col 67}{space 4}-.0143143{col 80}{space 3}   .01088
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0369142{col 39}{space 2} .0320263{col 50}{space 1}   -1.15{col 59}{space 3}0.249{col 67}{space 4}-.0996847{col 80}{space 3} .0258564
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}-.0013163{col 39}{space 2} .0253346{col 50}{space 1}   -0.05{col 59}{space 3}0.959{col 67}{space 4}-.0509714{col 80}{space 3} .0483388
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .3406559{col 39}{space 2} .1244731{col 50}{space 1}    2.74{col 59}{space 3}0.006{col 67}{space 4}  .096692{col 80}{space 3} .5846197
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0046682{col 39}{space 2} .0049925{col 50}{space 1}   -0.94{col 59}{space 3}0.350{col 67}{space 4}-.0144533{col 80}{space 3} .0051169
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0348789{col 39}{space 2} .0258819{col 50}{space 1}   -1.35{col 59}{space 3}0.178{col 67}{space 4}-.0856067{col 80}{space 3} .0158489
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0095024{col 39}{space 2} .0068255{col 50}{space 1}   -1.39{col 59}{space 3}0.164{col 67}{space 4}-.0228803{col 80}{space 3} .0038754
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0528204{col 39}{space 2} .0407799{col 50}{space 1}   -1.30{col 59}{space 3}0.195{col 67}{space 4}-.1327478{col 80}{space 3} .0271071
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0085035{col 39}{space 2} .0143896{col 50}{space 1}   -0.59{col 59}{space 3}0.555{col 67}{space 4}-.0367067{col 80}{space 3} .0196998
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0156576{col 39}{space 2} .0846686{col 50}{space 1}   -0.18{col 59}{space 3}0.853{col 67}{space 4}-.1816057{col 80}{space 3} .1502906
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .1448127{col 39}{space 2} .1808793{col 50}{space 1}    0.80{col 59}{space 3}0.423{col 67}{space 4}-.2097056{col 80}{space 3} .4993311
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} 2.899321{col 39}{space 2} 2.947382{col 50}{space 1}    0.98{col 59}{space 3}0.325{col 67}{space 4}-2.877466{col 80}{space 3} 8.676108
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0187813{col 39}{space 2} .0122241{col 50}{space 1}   -1.54{col 59}{space 3}0.124{col 67}{space 4}-.0427402{col 80}{space 3} .0051776
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0640089{col 39}{space 2} .0922276{col 50}{space 1}   -0.69{col 59}{space 3}0.488{col 67}{space 4}-.2447724{col 80}{space 3} .1167546
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0043868{col 39}{space 2} .0078638{col 50}{space 1}    0.56{col 59}{space 3}0.577{col 67}{space 4}-.0110261{col 80}{space 3} .0197996
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2}-.0300749{col 39}{space 2} .0443531{col 50}{space 1}   -0.68{col 59}{space 3}0.498{col 67}{space 4}-.1170058{col 80}{space 3} .0568561
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0077543{col 39}{space 2} .0062822{col 50}{space 1}    1.23{col 59}{space 3}0.217{col 67}{space 4}-.0045586{col 80}{space 3} .0200673
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0118064{col 39}{space 2} .0440294{col 50}{space 1}   -0.27{col 59}{space 3}0.789{col 67}{space 4}-.0981027{col 80}{space 3} .0744899
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0062896{col 39}{space 2}  .005714{col 50}{space 1}    1.10{col 59}{space 3}0.271{col 67}{space 4}-.0049097{col 80}{space 3} .0174888
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} -.001031{col 39}{space 2} .0369746{col 50}{space 1}   -0.03{col 59}{space 3}0.978{col 67}{space 4}-.0735003{col 80}{space 3} .0714383
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} -.000714{col 39}{space 2} .0041331{col 50}{space 1}   -0.17{col 59}{space 3}0.863{col 67}{space 4}-.0088148{col 80}{space 3} .0073868
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0721608{col 39}{space 2} .0216763{col 50}{space 1}    3.33{col 59}{space 3}0.001{col 67}{space 4} .0296759{col 80}{space 3} .1146457
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0446432{col 39}{space 2} .0377505{col 50}{space 1}    1.18{col 59}{space 3}0.237{col 67}{space 4}-.0293467{col 80}{space 3} .1186331
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}-.3126098{col 39}{space 2}  .373697{col 50}{space 1}   -0.84{col 59}{space 3}0.403{col 67}{space 4}-1.045046{col 80}{space 3} .4198259
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}-.0069962{col 39}{space 2} .0239368{col 50}{space 1}   -0.29{col 59}{space 3}0.770{col 67}{space 4}-.0539116{col 80}{space 3} .0399192
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}-.0097517{col 39}{space 2} .1652722{col 50}{space 1}   -0.06{col 59}{space 3}0.953{col 67}{space 4}-.3336805{col 80}{space 3} .3141772
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0225714{col 39}{space 2} .0172503{col 50}{space 1}   -1.31{col 59}{space 3}0.191{col 67}{space 4}-.0563816{col 80}{space 3} .0112388
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.1463806{col 39}{space 2} .1028924{col 50}{space 1}   -1.42{col 59}{space 3}0.155{col 67}{space 4}-.3480467{col 80}{space 3} .0552856
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}-.0095971{col 39}{space 2} .0120077{col 50}{space 1}   -0.80{col 59}{space 3}0.424{col 67}{space 4}-.0331319{col 80}{space 3} .0139377
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0328065{col 39}{space 2}  .057686{col 50}{space 1}   -0.57{col 59}{space 3}0.570{col 67}{space 4}-.1458695{col 80}{space 3} .0802565
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000216{col 39}{space 2} .0000416{col 50}{space 1}   -0.52{col 59}{space 3}0.604{col 67}{space 4} -.000103{col 80}{space 3} .0000599
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.10e-06{col 39}{space 2} 2.79e-07{col 50}{space 1}    3.93{col 59}{space 3}0.000{col 67}{space 4} 5.50e-07{col 80}{space 3} 1.64e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0092563{col 39}{space 2} .0011789{col 50}{space 1}    7.85{col 59}{space 3}0.000{col 67}{space 4} .0069456{col 80}{space 3} .0115669
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0011539{col 39}{space 2} .0004978{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} .0001783{col 80}{space 3} .0021295
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}  .002831{col 39}{space 2} .0012637{col 50}{space 1}    2.24{col 59}{space 3}0.025{col 67}{space 4} .0003541{col 80}{space 3} .0053079
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000695{col 39}{space 2} .0000197{col 50}{space 1}   -3.52{col 59}{space 3}0.000{col 67}{space 4}-.0001082{col 80}{space 3}-.0000309
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.67e-06{col 39}{space 2} 1.63e-07{col 50}{space 1}   10.23{col 59}{space 3}0.000{col 67}{space 4} 1.35e-06{col 80}{space 3} 1.99e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0117828{col 39}{space 2} .0003837{col 50}{space 1}   30.71{col 59}{space 3}0.000{col 67}{space 4} .0110307{col 80}{space 3} .0125349
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010926{col 39}{space 2} .0001898{col 50}{space 1}    5.76{col 59}{space 3}0.000{col 67}{space 4} .0007206{col 80}{space 3} .0014646
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4175032{col 39}{space 2} .0016893{col 50}{space 1}  247.14{col 59}{space 3}0.000{col 67}{space 4} .4141921{col 80}{space 3} .4208143
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}1207.500
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.4e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1228.478
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. * Placebo C ranomly select a HPG of the same type in the same munic of the same size
. use  Data/data_placebo_C_updated_analysis_coworker_peers, replace
{txt}
{com}. setup_macros_covariates
{txt}(1 missing value generated)
(1 missing value generated)
(1 missing value generated)
(1 missing value generated)

group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         27        0.00        0.00
{txt}          2 {c |}{res}     20,573        1.36        1.36
{txt}          3 {c |}{res}     26,426        1.75        3.11
{txt}          4 {c |}{res}     84,913        5.62        8.74
{txt}          5 {c |}{res}     35,894        2.38       11.12
{txt}          6 {c |}{res}     88,738        5.88       16.99
{txt}          7 {c |}{res}      4,586        0.30       17.30
{txt}          8 {c |}{res}    151,988       10.07       27.36
{txt}          9 {c |}{res}     82,366        5.45       32.82
{txt}         10 {c |}{res}     19,554        1.30       34.11
{txt}         11 {c |}{res}         58        0.00       34.12
{txt}         12 {c |}{res}      5,977        0.40       34.51
{txt}         13 {c |}{res}     20,097        1.33       35.84
{txt}         14 {c |}{res}     39,298        2.60       38.45
{txt}         15 {c |}{res}     57,369        3.80       42.24
{txt}         16 {c |}{res}    223,787       14.82       57.07
{txt}         17 {c |}{res}      1,585        0.10       57.17
{txt}         18 {c |}{res}      4,163        0.28       57.45
{txt}         19 {c |}{res}     11,360        0.75       58.20
{txt}         20 {c |}{res}     24,452        1.62       59.82
{txt}         21 {c |}{res}        114        0.01       59.83
{txt}         22 {c |}{res}     34,756        2.30       62.13
{txt}         23 {c |}{res}    122,483        8.11       70.24
{txt}         24 {c |}{res}     55,882        3.70       73.94
{txt}         25 {c |}{res}      7,648        0.51       74.45
{txt}         26 {c |}{res}     10,464        0.69       75.14
{txt}         27 {c |}{res}        164        0.01       75.15
{txt}         28 {c |}{res}      3,334        0.22       75.37
{txt}         29 {c |}{res}      4,596        0.30       75.68
{txt}         30 {c |}{res}        738        0.05       75.73
{txt}         31 {c |}{res}         28        0.00       75.73
{txt}         32 {c |}{res}     32,297        2.14       77.87
{txt}         33 {c |}{res}    229,614       15.21       93.07
{txt}         34 {c |}{res}     53,300        3.53       96.60
{txt}         35 {c |}{res}     22,423        1.49       98.09
{txt}         36 {c |}{res}     26,661        1.77       99.85
{txt}         37 {c |}{res}        234        0.02       99.87
{txt}         38 {c |}{res}        311        0.02       99.89
{txt}         39 {c |}{res}        796        0.05       99.94
{txt}         40 {c |}{res}        866        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,509,920      100.00
{txt}(1 missing value generated)
(1 missing value generated)
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(1 missing value generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. ivreghdfe Voted2022  $main_controls (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}277805{txt}{col 55}Number of obs = {res} 1509920
{txt}{col 55}F( 93,277804) = {res} 1273.82
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 94234.39353{txt}{col 55}Centered R2   = {res}  0.2265
{txt}Total (uncentered) SS   = {res} 94234.39353{txt}{col 55}Uncentered R2 = {res}  0.2265
{txt}Residual SS             = {res} 72885.79494{txt}{col 55}Root MSE      = {res}   .2202

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0255658{col 39}{space 2} .0172003{col 50}{space 1}    1.49{col 59}{space 3}0.137{col 67}{space 4}-.0081464{col 80}{space 3}  .059278
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0362368{col 39}{space 2} .0011013{col 50}{space 1}   32.90{col 59}{space 3}0.000{col 67}{space 4} .0340783{col 80}{space 3} .0383954
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1231497{col 39}{space 2} .0010876{col 50}{space 1}  113.23{col 59}{space 3}0.000{col 67}{space 4}  .121018{col 80}{space 3} .1252814
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1029156{col 39}{space 2} .0013105{col 50}{space 1}   78.53{col 59}{space 3}0.000{col 67}{space 4} .1003471{col 80}{space 3} .1054841
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2}-.0233136{col 39}{space 2} .1080061{col 50}{space 1}   -0.22{col 59}{space 3}0.829{col 67}{space 4}-.2350025{col 80}{space 3} .1883753
{txt}{space 23}3  {c |}{col 27}{res}{space 2}-.0446457{col 39}{space 2} .1080677{col 50}{space 1}   -0.41{col 59}{space 3}0.680{col 67}{space 4}-.2564555{col 80}{space 3} .1671641
{txt}{space 23}4  {c |}{col 27}{res}{space 2}-.0370965{col 39}{space 2} .1079057{col 50}{space 1}   -0.34{col 59}{space 3}0.731{col 67}{space 4}-.2485886{col 80}{space 3} .1743957
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-.0546331{col 39}{space 2} .1080669{col 50}{space 1}   -0.51{col 59}{space 3}0.613{col 67}{space 4}-.2664413{col 80}{space 3} .1571752
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0496486{col 39}{space 2}  .107841{col 50}{space 1}   -0.46{col 59}{space 3}0.645{col 67}{space 4}-.2610141{col 80}{space 3} .1617169
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0687514{col 39}{space 2} .1095546{col 50}{space 1}   -0.63{col 59}{space 3}0.530{col 67}{space 4}-.2834753{col 80}{space 3} .1459726
{txt}{space 23}8  {c |}{col 27}{res}{space 2}-.0448544{col 39}{space 2} .1078324{col 50}{space 1}   -0.42{col 59}{space 3}0.677{col 67}{space 4}-.2562029{col 80}{space 3} .1664941
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0476922{col 39}{space 2} .1078635{col 50}{space 1}   -0.44{col 59}{space 3}0.658{col 67}{space 4}-.2591016{col 80}{space 3} .1637172
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0934944{col 39}{space 2} .1083494{col 50}{space 1}   -0.86{col 59}{space 3}0.388{col 67}{space 4}-.3058563{col 80}{space 3} .1188675
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .2214681{col 39}{space 2} .8816982{col 50}{space 1}    0.25{col 59}{space 3}0.802{col 67}{space 4}-1.506636{col 80}{space 3} 1.949572
{txt}{space 22}12  {c |}{col 27}{res}{space 2}-.0102019{col 39}{space 2} .1083482{col 50}{space 1}   -0.09{col 59}{space 3}0.925{col 67}{space 4}-.2225614{col 80}{space 3} .2021575
{txt}{space 22}13  {c |}{col 27}{res}{space 2}-.0267235{col 39}{space 2} .1081148{col 50}{space 1}   -0.25{col 59}{space 3}0.805{col 67}{space 4}-.2386255{col 80}{space 3} .1851786
{txt}{space 22}14  {c |}{col 27}{res}{space 2}-.0356963{col 39}{space 2} .1080116{col 50}{space 1}   -0.33{col 59}{space 3}0.741{col 67}{space 4} -.247396{col 80}{space 3} .1760033
{txt}{space 22}15  {c |}{col 27}{res}{space 2}-.0236202{col 39}{space 2} .1079451{col 50}{space 1}   -0.22{col 59}{space 3}0.827{col 67}{space 4}-.2351896{col 80}{space 3} .1879491
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.0470882{col 39}{space 2} .1078368{col 50}{space 1}   -0.44{col 59}{space 3}0.662{col 67}{space 4}-.2584453{col 80}{space 3} .1642689
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0885654{col 39}{space 2}  .114854{col 50}{space 1}   -0.77{col 59}{space 3}0.441{col 67}{space 4} -.313676{col 80}{space 3} .1365452
{txt}{space 22}18  {c |}{col 27}{res}{space 2}-.0345252{col 39}{space 2} .1099247{col 50}{space 1}   -0.31{col 59}{space 3}0.753{col 67}{space 4}-.2499745{col 80}{space 3} .1809242
{txt}{space 22}19  {c |}{col 27}{res}{space 2}-.0420051{col 39}{space 2} .1089923{col 50}{space 1}   -0.39{col 59}{space 3}0.700{col 67}{space 4}-.2556269{col 80}{space 3} .1716168
{txt}{space 22}20  {c |}{col 27}{res}{space 2} -.049443{col 39}{space 2} .1082022{col 50}{space 1}   -0.46{col 59}{space 3}0.648{col 67}{space 4}-.2615164{col 80}{space 3} .1626303
{txt}{space 22}21  {c |}{col 27}{res}{space 2}  -.04906{col 39}{space 2}  .108909{col 50}{space 1}   -0.45{col 59}{space 3}0.652{col 67}{space 4}-.2625187{col 80}{space 3} .1643987
{txt}{space 22}22  {c |}{col 27}{res}{space 2}-.0291882{col 39}{space 2}  .107916{col 50}{space 1}   -0.27{col 59}{space 3}0.787{col 67}{space 4}-.2407006{col 80}{space 3} .1823243
{txt}{space 22}23  {c |}{col 27}{res}{space 2}-.0246077{col 39}{space 2} .1079067{col 50}{space 1}   -0.23{col 59}{space 3}0.820{col 67}{space 4}-.2361018{col 80}{space 3} .1868864
{txt}{space 22}24  {c |}{col 27}{res}{space 2}-.0240158{col 39}{space 2} .1078974{col 50}{space 1}   -0.22{col 59}{space 3}0.824{col 67}{space 4}-.2354917{col 80}{space 3} .1874601
{txt}{space 22}25  {c |}{col 27}{res}{space 2}-.0273776{col 39}{space 2} .1079011{col 50}{space 1}   -0.25{col 59}{space 3}0.800{col 67}{space 4}-.2388607{col 80}{space 3} .1841055
{txt}{space 22}26  {c |}{col 27}{res}{space 2}-.0282008{col 39}{space 2} .1078847{col 50}{space 1}   -0.26{col 59}{space 3}0.794{col 67}{space 4}-.2396519{col 80}{space 3} .1832502
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-.0373074{col 39}{space 2} .1092134{col 50}{space 1}   -0.34{col 59}{space 3}0.733{col 67}{space 4}-.2513626{col 80}{space 3} .1767478
{txt}{space 22}28  {c |}{col 27}{res}{space 2}-.0307719{col 39}{space 2} .1079143{col 50}{space 1}   -0.29{col 59}{space 3}0.776{col 67}{space 4} -.242281{col 80}{space 3} .1807372
{txt}{space 22}29  {c |}{col 27}{res}{space 2} -.037005{col 39}{space 2} .1079055{col 50}{space 1}   -0.34{col 59}{space 3}0.732{col 67}{space 4}-.2484968{col 80}{space 3} .1744869
{txt}{space 22}30  {c |}{col 27}{res}{space 2}-.0448208{col 39}{space 2}  .108196{col 50}{space 1}   -0.41{col 59}{space 3}0.679{col 67}{space 4}-.2568821{col 80}{space 3} .1672404
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .0067933{col 39}{space 2} .1080645{col 50}{space 1}    0.06{col 59}{space 3}0.950{col 67}{space 4}-.2050102{col 80}{space 3} .2185968
{txt}{space 22}32  {c |}{col 27}{res}{space 2}-.0246604{col 39}{space 2} .1079243{col 50}{space 1}   -0.23{col 59}{space 3}0.819{col 67}{space 4}-.2361892{col 80}{space 3} .1868683
{txt}{space 22}33  {c |}{col 27}{res}{space 2}-.0215484{col 39}{space 2} .1079189{col 50}{space 1}   -0.20{col 59}{space 3}0.842{col 67}{space 4}-.2330665{col 80}{space 3} .1899698
{txt}{space 22}34  {c |}{col 27}{res}{space 2}-.0196323{col 39}{space 2} .1079223{col 50}{space 1}   -0.18{col 59}{space 3}0.856{col 67}{space 4}-.2311571{col 80}{space 3} .1918925
{txt}{space 22}35  {c |}{col 27}{res}{space 2}-.0206261{col 39}{space 2} .1079159{col 50}{space 1}   -0.19{col 59}{space 3}0.848{col 67}{space 4}-.2321382{col 80}{space 3}  .190886
{txt}{space 22}36  {c |}{col 27}{res}{space 2} -.025057{col 39}{space 2} .1078945{col 50}{space 1}   -0.23{col 59}{space 3}0.816{col 67}{space 4}-.2365273{col 80}{space 3} .1864133
{txt}{space 22}37  {c |}{col 27}{res}{space 2}-.0169058{col 39}{space 2} .1086439{col 50}{space 1}   -0.16{col 59}{space 3}0.876{col 67}{space 4}-.2298447{col 80}{space 3} .1960332
{txt}{space 22}38  {c |}{col 27}{res}{space 2}-.0207406{col 39}{space 2} .1084056{col 50}{space 1}   -0.19{col 59}{space 3}0.848{col 67}{space 4}-.2332126{col 80}{space 3} .1917314
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0309477{col 39}{space 2} .1081268{col 50}{space 1}   -0.29{col 59}{space 3}0.775{col 67}{space 4}-.2428733{col 80}{space 3} .1809779
{txt}{space 22}40  {c |}{col 27}{res}{space 2}-.0163086{col 39}{space 2} .1081256{col 50}{space 1}   -0.15{col 59}{space 3}0.880{col 67}{space 4}-.2282318{col 80}{space 3} .1956146
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  -.03484{col 39}{space 2} .1507746{col 50}{space 1}   -0.23{col 59}{space 3}0.817{col 67}{space 4}-.3303541{col 80}{space 3} .2606741
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}  7.72823{col 39}{space 2}  2.11417{col 50}{space 1}    3.66{col 59}{space 3}0.000{col 67}{space 4} 3.584516{col 80}{space 3} 11.87194
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0049355{col 39}{space 2} .0077227{col 50}{space 1}   -0.64{col 59}{space 3}0.523{col 67}{space 4}-.0200718{col 80}{space 3} .0102009
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0377143{col 39}{space 2}  .037916{col 50}{space 1}    0.99{col 59}{space 3}0.320{col 67}{space 4}   -.0366{col 80}{space 3} .1120287
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0171883{col 39}{space 2}  .008782{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4}-.0000242{col 80}{space 3} .0344009
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0105311{col 39}{space 2} .0520302{col 50}{space 1}   -0.20{col 59}{space 3}0.840{col 67}{space 4}-.1125088{col 80}{space 3} .0914465
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0059233{col 39}{space 2} .0055839{col 50}{space 1}    1.06{col 59}{space 3}0.289{col 67}{space 4} -.005021{col 80}{space 3} .0168675
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0065555{col 39}{space 2} .0300734{col 50}{space 1}    0.22{col 59}{space 3}0.827{col 67}{space 4}-.0523874{col 80}{space 3} .0654985
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}-.0019565{col 39}{space 2} .0117726{col 50}{space 1}   -0.17{col 59}{space 3}0.868{col 67}{space 4}-.0250305{col 80}{space 3} .0211175
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0478395{col 39}{space 2} .0650314{col 50}{space 1}    0.74{col 59}{space 3}0.462{col 67}{space 4}-.0796203{col 80}{space 3} .1752993
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0088187{col 39}{space 2} .0073794{col 50}{space 1}   -1.20{col 59}{space 3}0.232{col 67}{space 4}-.0232822{col 80}{space 3} .0056448
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}   .04584{col 39}{space 2}  .034583{col 50}{space 1}    1.33{col 59}{space 3}0.185{col 67}{space 4}-.0219417{col 80}{space 3} .1136217
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0058429{col 39}{space 2} .0273747{col 50}{space 1}    0.21{col 59}{space 3}0.831{col 67}{space 4}-.0478108{col 80}{space 3} .0594967
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1726163{col 39}{space 2} .2021886{col 50}{space 1}   -0.85{col 59}{space 3}0.393{col 67}{space 4}-.5689004{col 80}{space 3} .2236679
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0013849{col 39}{space 2} .0061563{col 50}{space 1}    0.22{col 59}{space 3}0.822{col 67}{space 4}-.0106813{col 80}{space 3} .0134512
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0025888{col 39}{space 2}  .032467{col 50}{space 1}   -0.08{col 59}{space 3}0.936{col 67}{space 4}-.0662232{col 80}{space 3} .0610455
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0038239{col 39}{space 2} .0081961{col 50}{space 1}    0.47{col 59}{space 3}0.641{col 67}{space 4}-.0122401{col 80}{space 3}  .019888
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0229506{col 39}{space 2} .0414547{col 50}{space 1}    0.55{col 59}{space 3}0.580{col 67}{space 4}-.0582994{col 80}{space 3} .1042006
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0212357{col 39}{space 2} .0167552{col 50}{space 1}    1.27{col 59}{space 3}0.205{col 67}{space 4}-.0116039{col 80}{space 3} .0540754
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2} .0616181{col 39}{space 2}  .072022{col 50}{space 1}    0.86{col 59}{space 3}0.392{col 67}{space 4}-.0795431{col 80}{space 3} .2027793
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.2582705{col 39}{space 2} 1.051025{col 50}{space 1}   -0.25{col 59}{space 3}0.806{col 67}{space 4}-2.318251{col 80}{space 3}  1.80171
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} 3.832395{col 39}{space 2} 7.787814{col 50}{space 1}    0.49{col 59}{space 3}0.623{col 67}{space 4}-11.43151{col 80}{space 3}  19.0963
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0241745{col 39}{space 2} .0132537{col 50}{space 1}   -1.82{col 59}{space 3}0.068{col 67}{space 4}-.0501513{col 80}{space 3} .0018023
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}  .065788{col 39}{space 2} .0681137{col 50}{space 1}    0.97{col 59}{space 3}0.334{col 67}{space 4}-.0677129{col 80}{space 3} .1992889
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0004952{col 39}{space 2} .0097283{col 50}{space 1}    0.05{col 59}{space 3}0.959{col 67}{space 4}-.0185721{col 80}{space 3} .0195624
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0907229{col 39}{space 2} .0381702{col 50}{space 1}    2.38{col 59}{space 3}0.017{col 67}{space 4} .0159103{col 80}{space 3} .1655354
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0107509{col 39}{space 2} .0072489{col 50}{space 1}    1.48{col 59}{space 3}0.138{col 67}{space 4}-.0034568{col 80}{space 3} .0249587
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0985497{col 39}{space 2} .0467507{col 50}{space 1}   -2.11{col 59}{space 3}0.035{col 67}{space 4}-.1901799{col 80}{space 3}-.0069196
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}-.0089962{col 39}{space 2} .0065469{col 50}{space 1}   -1.37{col 59}{space 3}0.169{col 67}{space 4}-.0218279{col 80}{space 3} .0038354
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}  .003903{col 39}{space 2} .0396315{col 50}{space 1}    0.10{col 59}{space 3}0.922{col 67}{space 4}-.0737737{col 80}{space 3} .0815797
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0039289{col 39}{space 2} .0047999{col 50}{space 1}    0.82{col 59}{space 3}0.413{col 67}{space 4}-.0054788{col 80}{space 3} .0133367
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0030633{col 39}{space 2} .0276055{col 50}{space 1}    0.11{col 59}{space 3}0.912{col 67}{space 4}-.0510426{col 80}{space 3} .0571693
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0525557{col 39}{space 2} .0493435{col 50}{space 1}    1.07{col 59}{space 3}0.287{col 67}{space 4}-.0441562{col 80}{space 3} .1492676
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}-.2596261{col 39}{space 2} .2887627{col 50}{space 1}   -0.90{col 59}{space 3}0.369{col 67}{space 4} -.825593{col 80}{space 3} .3063408
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}-.0061256{col 39}{space 2} .0276684{col 50}{space 1}   -0.22{col 59}{space 3}0.825{col 67}{space 4}-.0603549{col 80}{space 3} .0481038
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}-.0876689{col 39}{space 2} .2302829{col 50}{space 1}   -0.38{col 59}{space 3}0.703{col 67}{space 4}-.5390171{col 80}{space 3} .3636793
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}  .003792{col 39}{space 2} .0212488{col 50}{space 1}    0.18{col 59}{space 3}0.858{col 67}{space 4} -.037855{col 80}{space 3}  .045439
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} -.068467{col 39}{space 2} .0848537{col 50}{space 1}   -0.81{col 59}{space 3}0.420{col 67}{space 4} -.234778{col 80}{space 3} .0978439
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}-.0107285{col 39}{space 2} .0138169{col 50}{space 1}   -0.78{col 59}{space 3}0.437{col 67}{space 4}-.0378093{col 80}{space 3} .0163522
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0384647{col 39}{space 2}  .094009{col 50}{space 1}   -0.41{col 59}{space 3}0.682{col 67}{space 4}-.2227197{col 80}{space 3} .1457904
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000126{col 39}{space 2} .0000472{col 50}{space 1}   -0.27{col 59}{space 3}0.789{col 67}{space 4} -.000105{col 80}{space 3} .0000798
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.52e-06{col 39}{space 2} 3.18e-07{col 50}{space 1}    4.80{col 59}{space 3}0.000{col 67}{space 4} 9.02e-07{col 80}{space 3} 2.15e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0115531{col 39}{space 2} .0013809{col 50}{space 1}    8.37{col 59}{space 3}0.000{col 67}{space 4} .0088466{col 80}{space 3} .0142597
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0010651{col 39}{space 2} .0005763{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0000644{col 80}{space 3} .0021946
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0016075{col 39}{space 2} .0014906{col 50}{space 1}    1.08{col 59}{space 3}0.281{col 67}{space 4}-.0013141{col 80}{space 3} .0045291
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000585{col 39}{space 2} .0000199{col 50}{space 1}   -2.94{col 59}{space 3}0.003{col 67}{space 4}-.0000974{col 80}{space 3}-.0000196
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.63e-06{col 39}{space 2} 1.59e-07{col 50}{space 1}   10.22{col 59}{space 3}0.000{col 67}{space 4} 1.31e-06{col 80}{space 3} 1.94e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0118005{col 39}{space 2} .0003881{col 50}{space 1}   30.40{col 59}{space 3}0.000{col 67}{space 4} .0110398{col 80}{space 3} .0125612
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0011115{col 39}{space 2} .0001927{col 50}{space 1}    5.77{col 59}{space 3}0.000{col 67}{space 4} .0007338{col 80}{space 3} .0014893
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}  .417175{col 39}{space 2} .0017087{col 50}{space 1}  244.15{col 59}{space 3}0.000{col 67}{space 4}  .413826{col 80}{space 3} .4205241
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}1379.788
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.5e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1413.891
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. *** Placebo test using voting in 2009 ***
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
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{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. rename WorkplaceId WorkplaceId_2018
{res}{txt}
{com}. rename P0846_lopnr_PeOrgNr lopenr_PeOrgNr_2018
{res}{txt}
{com}. merge 1:1 PersonId using Data/data_ind_X_2009,keepusing(WorkplaceId P0846_lopnr_PeOrgN)
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}       5,883,530
{txt}{col 9}from master{col 30}{res}         148,409{txt}  (_merge==1)
{col 9}from using{col 30}{res}       5,735,121{txt}  (_merge==2)

{col 5}Matched{col 30}{res}       1,935,541{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop if _merge==2
{txt}(5,735,121 observations deleted)

{com}. drop _merge
{txt}
{com}. rename WorkplaceId WorkplaceId_2010
{res}{txt}
{com}. rename P0846_lopnr_PeOrgNr lopenr_PeOrgNr_2010
{res}{txt}
{com}. 
. g Same_WP = WorkplaceId_2010 == WorkplaceId_2018
{txt}
{com}. g Same_Firm = lopenr_PeOrgNr_2010==lopenr_PeOrgNr_2018
{txt}
{com}. 
. ivreghdfe voted2009  $main_controls   (WP_Voted2018 = WP_Relative_Voted2010) $insample & Same_Firm==1, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}(dropped 18 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}172262{txt}{col 55}Number of obs = {res}  560996
{txt}{col 55}F( 93,172261) = {res} 1341.95
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 132906.0435{txt}{col 55}Centered R2   = {res}  0.1141
{txt}Total (uncentered) SS   = {res} 132906.0435{txt}{col 55}Uncentered R2 = {res}  0.1141
{txt}Residual SS             = {res} 117735.8755{txt}{col 55}Root MSE      = {res}   .4606

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                voted2009{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0389559{col 39}{space 2} .0630389{col 50}{space 1}    0.62{col 59}{space 3}0.537{col 67}{space 4} -.084599{col 80}{space 3} .1625108
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .1081618{col 39}{space 2} .0031186{col 50}{space 1}   34.68{col 59}{space 3}0.000{col 67}{space 4} .1020495{col 80}{space 3} .1142741
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .2811221{col 39}{space 2} .0018398{col 50}{space 1}  152.80{col 59}{space 3}0.000{col 67}{space 4}  .277516{col 80}{space 3} .2847281
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .2547572{col 39}{space 2} .0070928{col 50}{space 1}   35.92{col 59}{space 3}0.000{col 67}{space 4} .2408554{col 80}{space 3} .2686589
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2}-1.862055{col 39}{space 2} .5031764{col 50}{space 1}   -3.70{col 59}{space 3}0.000{col 67}{space 4}-2.848269{col 80}{space 3}  -.87584
{txt}{space 23}3  {c |}{col 27}{res}{space 2} -1.75701{col 39}{space 2} .5033907{col 50}{space 1}   -3.49{col 59}{space 3}0.000{col 67}{space 4}-2.743645{col 80}{space 3}-.7703755
{txt}{space 23}4  {c |}{col 27}{res}{space 2} -1.85771{col 39}{space 2} .5029496{col 50}{space 1}   -3.69{col 59}{space 3}0.000{col 67}{space 4} -2.84348{col 80}{space 3}-.8719396
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-1.917146{col 39}{space 2} .5032603{col 50}{space 1}   -3.81{col 59}{space 3}0.000{col 67}{space 4}-2.903525{col 80}{space 3}-.9307674
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-1.873952{col 39}{space 2} .5029924{col 50}{space 1}   -3.73{col 59}{space 3}0.000{col 67}{space 4}-2.859806{col 80}{space 3} -.888098
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-1.965307{col 39}{space 2} .5043946{col 50}{space 1}   -3.90{col 59}{space 3}0.000{col 67}{space 4}-2.953909{col 80}{space 3}-.9767047
{txt}{space 23}8  {c |}{col 27}{res}{space 2} -1.88109{col 39}{space 2} .5029238{col 50}{space 1}   -3.74{col 59}{space 3}0.000{col 67}{space 4}-2.866809{col 80}{space 3}-.8953702
{txt}{space 23}9  {c |}{col 27}{res}{space 2} -1.91618{col 39}{space 2} .5030627{col 50}{space 1}   -3.81{col 59}{space 3}0.000{col 67}{space 4}-2.902171{col 80}{space 3} -.930188
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-1.854402{col 39}{space 2} .5036974{col 50}{space 1}   -3.68{col 59}{space 3}0.000{col 67}{space 4}-2.841637{col 80}{space 3} -.867166
{txt}{space 22}11  {c |}{col 27}{res}{space 2}-3.507573{col 39}{space 2} .6437795{col 50}{space 1}   -5.45{col 59}{space 3}0.000{col 67}{space 4}-4.769366{col 80}{space 3}-2.245779
{txt}{space 22}12  {c |}{col 27}{res}{space 2}-1.831566{col 39}{space 2}  .503911{col 50}{space 1}   -3.63{col 59}{space 3}0.000{col 67}{space 4} -2.81922{col 80}{space 3}-.8439112
{txt}{space 22}13  {c |}{col 27}{res}{space 2}-1.775757{col 39}{space 2} .5033184{col 50}{space 1}   -3.53{col 59}{space 3}0.000{col 67}{space 4}-2.762249{col 80}{space 3}-.7892638
{txt}{space 22}14  {c |}{col 27}{res}{space 2}-1.885099{col 39}{space 2} .5030799{col 50}{space 1}   -3.75{col 59}{space 3}0.000{col 67}{space 4}-2.871124{col 80}{space 3}-.8990736
{txt}{space 22}15  {c |}{col 27}{res}{space 2}-1.856199{col 39}{space 2} .5029947{col 50}{space 1}   -3.69{col 59}{space 3}0.000{col 67}{space 4}-2.842058{col 80}{space 3}-.8703409
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-1.914002{col 39}{space 2} .5028675{col 50}{space 1}   -3.81{col 59}{space 3}0.000{col 67}{space 4}-2.899611{col 80}{space 3}-.9283933
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-1.886665{col 39}{space 2} .5072196{col 50}{space 1}   -3.72{col 59}{space 3}0.000{col 67}{space 4}-2.880805{col 80}{space 3}-.8925262
{txt}{space 22}18  {c |}{col 27}{res}{space 2}-1.808372{col 39}{space 2} .5054361{col 50}{space 1}   -3.58{col 59}{space 3}0.000{col 67}{space 4}-2.799016{col 80}{space 3}-.8177288
{txt}{space 22}19  {c |}{col 27}{res}{space 2}-1.943701{col 39}{space 2} .5042191{col 50}{space 1}   -3.85{col 59}{space 3}0.000{col 67}{space 4} -2.93196{col 80}{space 3}-.9554432
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-1.954232{col 39}{space 2} .5033087{col 50}{space 1}   -3.88{col 59}{space 3}0.000{col 67}{space 4}-2.940706{col 80}{space 3}-.9677582
{txt}{space 22}21  {c |}{col 27}{res}{space 2}-1.688219{col 39}{space 2} .5037513{col 50}{space 1}   -3.35{col 59}{space 3}0.001{col 67}{space 4}-2.675561{col 80}{space 3}-.7008782
{txt}{space 22}22  {c |}{col 27}{res}{space 2}-1.630877{col 39}{space 2} .5027896{col 50}{space 1}   -3.24{col 59}{space 3}0.001{col 67}{space 4}-2.616334{col 80}{space 3}-.6454208
{txt}{space 22}23  {c |}{col 27}{res}{space 2}-1.605057{col 39}{space 2} .5027695{col 50}{space 1}   -3.19{col 59}{space 3}0.001{col 67}{space 4}-2.590474{col 80}{space 3}-.6196399
{txt}{space 22}24  {c |}{col 27}{res}{space 2}-1.675316{col 39}{space 2} .5027814{col 50}{space 1}   -3.33{col 59}{space 3}0.001{col 67}{space 4}-2.660756{col 80}{space 3}-.6898753
{txt}{space 22}25  {c |}{col 27}{res}{space 2}-1.667033{col 39}{space 2} .5028991{col 50}{space 1}   -3.31{col 59}{space 3}0.001{col 67}{space 4}-2.652704{col 80}{space 3}-.6813623
{txt}{space 22}26  {c |}{col 27}{res}{space 2}-1.690356{col 39}{space 2} .5028468{col 50}{space 1}   -3.36{col 59}{space 3}0.001{col 67}{space 4}-2.675925{col 80}{space 3}-.7047873
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-1.689728{col 39}{space 2} .5049763{col 50}{space 1}   -3.35{col 59}{space 3}0.001{col 67}{space 4}-2.679471{col 80}{space 3}-.6999861
{txt}{space 22}28  {c |}{col 27}{res}{space 2}-1.715598{col 39}{space 2} .5029679{col 50}{space 1}   -3.41{col 59}{space 3}0.001{col 67}{space 4}-2.701403{col 80}{space 3}-.7297916
{txt}{space 22}29  {c |}{col 27}{res}{space 2}-1.706237{col 39}{space 2} .5029139{col 50}{space 1}   -3.39{col 59}{space 3}0.001{col 67}{space 4}-2.691937{col 80}{space 3}-.7205369
{txt}{space 22}30  {c |}{col 27}{res}{space 2}-1.620606{col 39}{space 2} .5035083{col 50}{space 1}   -3.22{col 59}{space 3}0.001{col 67}{space 4}-2.607471{col 80}{space 3}-.6337406
{txt}{space 22}31  {c |}{col 27}{res}{space 2}-1.572236{col 39}{space 2} .5058899{col 50}{space 1}   -3.11{col 59}{space 3}0.002{col 67}{space 4}-2.563769{col 80}{space 3}-.5807033
{txt}{space 22}32  {c |}{col 27}{res}{space 2}-1.631069{col 39}{space 2} .5027792{col 50}{space 1}   -3.24{col 59}{space 3}0.001{col 67}{space 4}-2.616506{col 80}{space 3}-.6456334
{txt}{space 22}33  {c |}{col 27}{res}{space 2}-1.667934{col 39}{space 2} .5027648{col 50}{space 1}   -3.32{col 59}{space 3}0.001{col 67}{space 4}-2.653342{col 80}{space 3}-.6825259
{txt}{space 22}34  {c |}{col 27}{res}{space 2}-1.670318{col 39}{space 2} .5027751{col 50}{space 1}   -3.32{col 59}{space 3}0.001{col 67}{space 4}-2.655746{col 80}{space 3}-.6848901
{txt}{space 22}35  {c |}{col 27}{res}{space 2}  -1.6874{col 39}{space 2} .5028043{col 50}{space 1}   -3.36{col 59}{space 3}0.001{col 67}{space 4}-2.672885{col 80}{space 3}-.7019145
{txt}{space 22}36  {c |}{col 27}{res}{space 2}-1.745185{col 39}{space 2} .5027981{col 50}{space 1}   -3.47{col 59}{space 3}0.001{col 67}{space 4}-2.730658{col 80}{space 3}-.7597121
{txt}{space 22}37  {c |}{col 27}{res}{space 2}-1.776588{col 39}{space 2} .5047305{col 50}{space 1}   -3.52{col 59}{space 3}0.000{col 67}{space 4}-2.765848{col 80}{space 3} -.787327
{txt}{space 22}38  {c |}{col 27}{res}{space 2}-1.690202{col 39}{space 2} .5042952{col 50}{space 1}   -3.35{col 59}{space 3}0.001{col 67}{space 4}-2.678609{col 80}{space 3}-.7017946
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-1.719585{col 39}{space 2} .5037396{col 50}{space 1}   -3.41{col 59}{space 3}0.001{col 67}{space 4}-2.706903{col 80}{space 3}-.7322663
{txt}{space 22}40  {c |}{col 27}{res}{space 2}-1.658497{col 39}{space 2} .5037922{col 50}{space 1}   -3.29{col 59}{space 3}0.001{col 67}{space 4}-2.645919{col 80}{space 3}-.6710756
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}-2.421591{col 39}{space 2} .6710806{col 50}{space 1}   -3.61{col 59}{space 3}0.000{col 67}{space 4}-3.736894{col 80}{space 3}-1.106288
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} 11.03294{col 39}{space 2} 9.999321{col 50}{space 1}    1.10{col 59}{space 3}0.270{col 67}{space 4}-8.565503{col 80}{space 3} 30.63139
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0312385{col 39}{space 2} .0265698{col 50}{space 1}    1.18{col 59}{space 3}0.240{col 67}{space 4}-.0208377{col 80}{space 3} .0833147
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0023682{col 39}{space 2} .1180023{col 50}{space 1}   -0.02{col 59}{space 3}0.984{col 67}{space 4}-.2336501{col 80}{space 3} .2289137
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0035797{col 39}{space 2} .0326054{col 50}{space 1}    0.11{col 59}{space 3}0.913{col 67}{space 4}-.0603262{col 80}{space 3} .0674856
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.1767526{col 39}{space 2}  .174096{col 50}{space 1}   -1.02{col 59}{space 3}0.310{col 67}{space 4}-.5179769{col 80}{space 3} .1644716
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0286442{col 39}{space 2}  .018591{col 50}{space 1}    1.54{col 59}{space 3}0.123{col 67}{space 4}-.0077938{col 80}{space 3} .0650822
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}  .089733{col 39}{space 2} .1031898{col 50}{space 1}    0.87{col 59}{space 3}0.385{col 67}{space 4}-.1125167{col 80}{space 3} .2919827
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .1072424{col 39}{space 2} .0292566{col 50}{space 1}    3.67{col 59}{space 3}0.000{col 67}{space 4} .0499001{col 80}{space 3} .1645846
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0548338{col 39}{space 2} .1742106{col 50}{space 1}    0.31{col 59}{space 3}0.753{col 67}{space 4} -.286615{col 80}{space 3} .3962827
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0358993{col 39}{space 2} .0191858{col 50}{space 1}    1.87{col 59}{space 3}0.061{col 67}{space 4}-.0017045{col 80}{space 3} .0735031
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0565878{col 39}{space 2} .0988096{col 50}{space 1}   -0.57{col 59}{space 3}0.567{col 67}{space 4}-.2502525{col 80}{space 3} .1370769
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .1579259{col 39}{space 2} .0547309{col 50}{space 1}    2.89{col 59}{space 3}0.004{col 67}{space 4} .0506545{col 80}{space 3} .2651973
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}  .278322{col 39}{space 2} .2927216{col 50}{space 1}    0.95{col 59}{space 3}0.342{col 67}{space 4}-.2954058{col 80}{space 3} .8520498
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0076018{col 39}{space 2} .0169473{col 50}{space 1}    0.45{col 59}{space 3}0.654{col 67}{space 4}-.0256145{col 80}{space 3} .0408181
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0386892{col 39}{space 2} .0856549{col 50}{space 1}   -0.45{col 59}{space 3}0.651{col 67}{space 4}-.2065709{col 80}{space 3} .1291925
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0541563{col 39}{space 2} .0229493{col 50}{space 1}    2.36{col 59}{space 3}0.018{col 67}{space 4} .0091762{col 80}{space 3} .0991363
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0663957{col 39}{space 2} .1082222{col 50}{space 1}   -0.61{col 59}{space 3}0.540{col 67}{space 4}-.2785088{col 80}{space 3} .1457174
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0127911{col 39}{space 2} .0404557{col 50}{space 1}   -0.32{col 59}{space 3}0.752{col 67}{space 4}-.0920834{col 80}{space 3} .0665013
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2} .0965247{col 39}{space 2} .2219341{col 50}{space 1}    0.43{col 59}{space 3}0.664{col 67}{space 4}-.3384611{col 80}{space 3} .5315105
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} 2.386088{col 39}{space 2} .5801191{col 50}{space 1}    4.11{col 59}{space 3}0.000{col 67}{space 4} 1.249068{col 80}{space 3} 3.523109
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} 5.610967{col 39}{space 2} 1.423941{col 50}{space 1}    3.94{col 59}{space 3}0.000{col 67}{space 4} 2.820073{col 80}{space 3}  8.40186
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0071129{col 39}{space 2} .0434229{col 50}{space 1}   -0.16{col 59}{space 3}0.870{col 67}{space 4}-.0922209{col 80}{space 3} .0779951
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.4621872{col 39}{space 2} .1500779{col 50}{space 1}   -3.08{col 59}{space 3}0.002{col 67}{space 4}-.7563365{col 80}{space 3}-.1680378
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0154561{col 39}{space 2} .0307425{col 50}{space 1}   -0.50{col 59}{space 3}0.615{col 67}{space 4}-.0757106{col 80}{space 3} .0447985
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .1850778{col 39}{space 2} .1911947{col 50}{space 1}    0.97{col 59}{space 3}0.333{col 67}{space 4}-.1896596{col 80}{space 3} .5598152
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0745979{col 39}{space 2} .0235539{col 50}{space 1}    3.17{col 59}{space 3}0.002{col 67}{space 4} .0284327{col 80}{space 3} .1207631
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0039187{col 39}{space 2} .1250757{col 50}{space 1}   -0.03{col 59}{space 3}0.975{col 67}{space 4}-.2490644{col 80}{space 3}  .241227
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0206843{col 39}{space 2} .0202901{col 50}{space 1}    1.02{col 59}{space 3}0.308{col 67}{space 4}-.0190838{col 80}{space 3} .0604524
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}-.0536681{col 39}{space 2} .1255365{col 50}{space 1}   -0.43{col 59}{space 3}0.669{col 67}{space 4}-.2997168{col 80}{space 3} .1923806
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0356147{col 39}{space 2} .0128096{col 50}{space 1}    2.78{col 59}{space 3}0.005{col 67}{space 4} .0105082{col 80}{space 3} .0607212
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.1162251{col 39}{space 2} .0750705{col 50}{space 1}   -1.55{col 59}{space 3}0.122{col 67}{space 4}-.2633616{col 80}{space 3} .0309113
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0171381{col 39}{space 2}  .087014{col 50}{space 1}    0.20{col 59}{space 3}0.844{col 67}{space 4}-.1534074{col 80}{space 3} .1876837
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}-.5571708{col 39}{space 2} .1585866{col 50}{space 1}   -3.51{col 59}{space 3}0.000{col 67}{space 4}-.8679969{col 80}{space 3}-.2463447
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}-.0622741{col 39}{space 2} .0674559{col 50}{space 1}   -0.92{col 59}{space 3}0.356{col 67}{space 4}-.1944862{col 80}{space 3} .0699381
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} 1.154585{col 39}{space 2} .5077627{col 50}{space 1}    2.27{col 59}{space 3}0.023{col 67}{space 4} .1593815{col 80}{space 3} 2.149789
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .1027876{col 39}{space 2} .0514086{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0020278{col 80}{space 3} .2035473
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} .5274986{col 39}{space 2} .2416929{col 50}{space 1}    2.18{col 59}{space 3}0.029{col 67}{space 4}  .053786{col 80}{space 3} 1.001211
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0856724{col 39}{space 2} .0304733{col 50}{space 1}    2.81{col 59}{space 3}0.005{col 67}{space 4} .0259454{col 80}{space 3} .1453995
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} .1531818{col 39}{space 2} .1529921{col 50}{space 1}    1.00{col 59}{space 3}0.317{col 67}{space 4}-.1466793{col 80}{space 3} .4530428
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0035966{col 39}{space 2} .0001615{col 50}{space 1}   22.27{col 59}{space 3}0.000{col 67}{space 4}   .00328{col 80}{space 3} .0039132
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 5.69e-06{col 39}{space 2} 1.14e-06{col 50}{space 1}    4.99{col 59}{space 3}0.000{col 67}{space 4} 3.45e-06{col 80}{space 3} 7.92e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0685025{col 39}{space 2} .0047332{col 50}{space 1}   14.47{col 59}{space 3}0.000{col 67}{space 4} .0592256{col 80}{space 3} .0777794
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0201098{col 39}{space 2} .0019538{col 50}{space 1}  -10.29{col 59}{space 3}0.000{col 67}{space 4}-.0239392{col 80}{space 3}-.0162803
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0649072{col 39}{space 2} .0058753{col 50}{space 1}  -11.05{col 59}{space 3}0.000{col 67}{space 4}-.0764227{col 80}{space 3}-.0533918
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0030335{col 39}{space 2} .0000782{col 50}{space 1}   38.77{col 59}{space 3}0.000{col 67}{space 4} .0028801{col 80}{space 3} .0031868
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.93e-06{col 39}{space 2} 4.25e-07{col 50}{space 1}    4.53{col 59}{space 3}0.000{col 67}{space 4} 1.09e-06{col 80}{space 3} 2.76e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0668037{col 39}{space 2}  .001372{col 50}{space 1}   48.69{col 59}{space 3}0.000{col 67}{space 4} .0641145{col 80}{space 3} .0694928
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2}-.0140926{col 39}{space 2} .0006924{col 50}{space 1}  -20.35{col 59}{space 3}0.000{col 67}{space 4}-.0154497{col 80}{space 3}-.0127355
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .1551897{col 39}{space 2} .0023766{col 50}{space 1}   65.30{col 59}{space 3}0.000{col 67}{space 4} .1505316{col 80}{space 3} .1598479
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71} 939.004
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}4179.165
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71} 945.071
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     5969{col 33}{space 1}        0{col 45}{result}{space 1}     5969{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. *Plausibly exogenous 
. quietly reghdfe WP_Relative_Voted2010 $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(instrument_res)
{txt}
{com}. quietly reghdfe Voted2022 $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(turnout_res)
{txt}
{com}. quietly reghdfe WP_Voted2018  $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(wp_turnout_res)
{txt}
{com}. quietly reg  wp_turnout_res instrument_res $insample, cluster(WP_HPG_id) 
{txt}
{com}. predict pr_wp_turnout $insample, xb
{txt}(498,614 missing values generated)

{com}. 
. plausexog uci turnout_res (wp_turnout_res = instrument_res), vce(cluster WP_HPG_id) gmin(0) gmax(.009) grid(3)
Estimating Conely et al.'s uci method
Exogenous variables: 
Endogenous variables: wp_turnout_res
Instruments: instrument_res


Conley et al (2012)'s UCI results{col 55}Number of obs =      1585336
{res}{hline 78}
Variable{col 13}Lower Bound{col 29}Upper Bound
{hline 78}
{txt}wp_turnout_res{col 13}.02966858{col 29}.04793744
_cons{col 13}-.00034988{col 29}.00034988
{res}{hline 78}
{txt}
{com}. 
. *LB: .030 UP: .048
. 
. *****************************************************************
. *********** TABLE 4  Heterogeneity by O*Net  ***********
. ***************************************************************
. 
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. rename Ssyk4_2012_J16 ssyk2012
{res}{txt}
{com}. * Data from O*NET at the occupational level
. merge m:1 ssyk2012 using Data/data_ONET_WorkWithOthers
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}         442,465
{txt}{col 9}from master{col 30}{res}         442,465{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}Matched{col 30}{res}       1,641,485{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop if _merge == 2
{txt}(0 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. capture drop ssyk3-WP_RelV2010_WorkOthersMiss
{txt}
{com}. 
. * Impute at the three digit level if missing at the four digit level
. gen ssyk3 = floor(ssyk2012/10)
{txt}(146,336 missing values generated)

{com}. egen WorkWithOthers_3 = mean(WorkWithOthers), by(ssyk3)
{txt}(371,525 missing values generated)

{com}. replace WorkWithOthers = WorkWithOthers_3 if WorkWithOthers == .
{txt}(70,940 real changes made)

{com}. gen ssyk2 = floor(ssyk2012/100)
{txt}(146,336 missing values generated)

{com}. tab ssyk2, miss

      {txt}ssyk2 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        781        0.04        0.04
{txt}          2 {c |}{res}        454        0.02        0.06
{txt}          3 {c |}{res}      4,004        0.19        0.25
{txt}         11 {c |}{res}      7,222        0.35        0.60
{txt}         12 {c |}{res}     39,107        1.88        2.47
{txt}         13 {c |}{res}     29,854        1.43        3.91
{txt}         14 {c |}{res}      6,145        0.29        4.20
{txt}         15 {c |}{res}     21,149        1.01        5.22
{txt}         16 {c |}{res}      2,272        0.11        5.33
{txt}         17 {c |}{res}      5,095        0.24        5.57
{txt}         21 {c |}{res}     79,211        3.80        9.37
{txt}         22 {c |}{res}    103,140        4.95       14.32
{txt}         23 {c |}{res}    172,833        8.29       22.61
{txt}         24 {c |}{res}    107,923        5.18       27.79
{txt}         25 {c |}{res}     64,935        3.12       30.91
{txt}         26 {c |}{res}     56,703        2.72       33.63
{txt}         31 {c |}{res}     64,578        3.10       36.73
{txt}         32 {c |}{res}     15,282        0.73       37.46
{txt}         33 {c |}{res}    155,050        7.44       44.90
{txt}         34 {c |}{res}     22,560        1.08       45.98
{txt}         35 {c |}{res}     27,398        1.31       47.30
{txt}         41 {c |}{res}     69,195        3.32       50.62
{txt}         42 {c |}{res}     29,617        1.42       52.04
{txt}         43 {c |}{res}     42,005        2.02       54.06
{txt}         44 {c |}{res}     10,402        0.50       54.56
{txt}         51 {c |}{res}     49,690        2.38       56.94
{txt}         52 {c |}{res}    110,310        5.29       62.23
{txt}         53 {c |}{res}    223,248       10.71       72.95
{txt}         54 {c |}{res}     21,599        1.04       73.98
{txt}         61 {c |}{res}      8,718        0.42       74.40
{txt}         62 {c |}{res}      1,436        0.07       74.47
{txt}         71 {c |}{res}     73,121        3.51       77.98
{txt}         72 {c |}{res}     72,285        3.47       81.45
{txt}         73 {c |}{res}      5,509        0.26       81.71
{txt}         74 {c |}{res}     30,370        1.46       83.17
{txt}         75 {c |}{res}      5,815        0.28       83.45
{txt}         76 {c |}{res}      2,509        0.12       83.57
{txt}         81 {c |}{res}     48,770        2.34       85.91
{txt}         82 {c |}{res}     25,571        1.23       87.14
{txt}         83 {c |}{res}     62,421        3.00       90.13
{txt}         91 {c |}{res}     14,691        0.70       90.84
{txt}         92 {c |}{res}        583        0.03       90.86
{txt}         93 {c |}{res}      9,934        0.48       91.34
{txt}         94 {c |}{res}     16,216        0.78       92.12
{txt}         95 {c |}{res}         20        0.00       92.12
{txt}         96 {c |}{res}     17,883        0.86       92.98
{txt}          . {c |}{res}    146,336        7.02      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  2,083,950      100.00
{txt}
{com}. 
. egen WorkWithOthers_2 = mean(WorkWithOthers), by(ssyk2)
{txt}(216,510 missing values generated)

{com}. replace WorkWithOthers = WorkWithOthers_2 if WorkWithOthers == .
{txt}(155,015 real changes made)

{com}. 
. gen ssyk1 = floor(ssyk2012/1000)
{txt}(146,336 missing values generated)

{com}. tab ssyk1, miss

      {txt}ssyk1 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      5,239        0.25        0.25
{txt}          1 {c |}{res}    110,844        5.32        5.57
{txt}          2 {c |}{res}    584,745       28.06       33.63
{txt}          3 {c |}{res}    284,868       13.67       47.30
{txt}          4 {c |}{res}    151,219        7.26       54.56
{txt}          5 {c |}{res}    404,847       19.43       73.98
{txt}          6 {c |}{res}     10,154        0.49       74.47
{txt}          7 {c |}{res}    189,609        9.10       83.57
{txt}          8 {c |}{res}    136,762        6.56       90.13
{txt}          9 {c |}{res}     59,327        2.85       92.98
{txt}          . {c |}{res}    146,336        7.02      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  2,083,950      100.00
{txt}
{com}. 
. egen WorkWithOthers_1 = mean(WorkWithOthers), by(ssyk1)
{txt}(151,575 missing values generated)

{com}. replace WorkWithOthers = WorkWithOthers_1 if WorkWithOthers == .
{txt}(64,935 real changes made)

{com}. 
. drop if WorkWithOthers == .
{txt}(151,575 observations deleted)

{com}. 
. * Split the group where social interaction is very important or extremely important in two groups of approx. equal size.  
. gen L_WorkOthers = WorkWithOthers <= 75
{txt}
{com}. gen H_WorkOthers = WorkWithOthers >75
{txt}
{com}. 
. gen WP_Voted2018_L_WorkOthers = WP_Voted2018 * L_WorkOthers
{txt}
{com}. gen WP_Voted2018_H_WorkOthers = WP_Voted2018 * H_WorkOthers
{txt}
{com}. 
. gen WP_RelV2010_L_WorkOthers = WP_Relative_Voted2010 * L_WorkOthers
{txt}
{com}. gen WP_RelV2010_H_WorkOthers = WP_Relative_Voted2010 * H_WorkOthers
{txt}
{com}. 
. gen WP_Voted2018_WorkOthers = WP_Voted2018 * WorkWithOthers
{txt}
{com}. gen WP_Relative_Voted2010_WorkOthers = WP_Relative_Voted2010 * WorkWithOthers
{txt}
{com}. 
. * Interaction with mean centered WorkWithOthers
. summarize WorkWithOthers $insample, meanonly
{txt}
{com}. gen WorkWithOthers_c = WorkWithOthers - r(mean)
{txt}
{com}. 
. gen WP_Voted2018_WorkOthers_c = WP_Voted2018 * WorkWithOthers_c
{txt}
{com}. gen WP_Rel_Voted2010_WorkOthers_c = WP_Relative_Voted2010 * WorkWithOthers_c
{txt}
{com}. 
. 
. * Sample split  
. ivreghdfe Voted2022  $main_controls  L_WorkOther ///
> (WP_Voted2018_L_WorkOthers  WP_Voted2018_H_WorkOthers   = WP_RelV2010_L_WorkOthers WP_RelV2010_H_WorkOthers ) /// 
> $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}WP_HPG_Edu_1_2 WP_HPG_Edu_1_4 WP_HPG_Edu_11_2
{col 21}WP_HPG_Edu_11_4
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298532{txt}{col 55}Number of obs = {res} 1584234
{txt}{col 55}F( 87,298531) = {res} 1386.04
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99281.92513{txt}{col 55}Centered R2   = {res}  0.2273
{txt}Total (uncentered) SS   = {res} 99281.92513{txt}{col 55}Uncentered R2 = {res}  0.2273
{txt}Residual SS             = {res} 76715.45024{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
WP_Voted2018_L_WorkOthers {c |}{col 27}{res}{space 2} .0571617{col 39}{space 2} .0208496{col 50}{space 1}    2.74{col 59}{space 3}0.006{col 67}{space 4} .0162971{col 80}{space 3} .0980263
{txt}WP_Voted2018_H_WorkOthers {c |}{col 27}{res}{space 2} .0910128{col 39}{space 2} .0168198{col 50}{space 1}    5.41{col 59}{space 3}0.000{col 67}{space 4} .0580465{col 80}{space 3} .1239791
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353755{col 39}{space 2} .0010753{col 50}{space 1}   32.90{col 59}{space 3}0.000{col 67}{space 4}  .033268{col 80}{space 3}  .037483
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224962{col 39}{space 2} .0010753{col 50}{space 1}  113.92{col 59}{space 3}0.000{col 67}{space 4} .1203886{col 80}{space 3} .1246038
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1025981{col 39}{space 2} .0012909{col 50}{space 1}   79.48{col 59}{space 3}0.000{col 67}{space 4} .1000679{col 80}{space 3} .1051282
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}3  {c |}{col 27}{res}{space 2}-.0035924{col 39}{space 2} .0071029{col 50}{space 1}   -0.51{col 59}{space 3}0.613{col 67}{space 4} -.017514{col 80}{space 3} .0103291
{txt}{space 23}4  {c |}{col 27}{res}{space 2}-.0082807{col 39}{space 2} .0057632{col 50}{space 1}   -1.44{col 59}{space 3}0.151{col 67}{space 4}-.0195765{col 80}{space 3} .0030151
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-.0344014{col 39}{space 2} .0087452{col 50}{space 1}   -3.93{col 59}{space 3}0.000{col 67}{space 4}-.0515417{col 80}{space 3} -.017261
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0235359{col 39}{space 2} .0067198{col 50}{space 1}   -3.50{col 59}{space 3}0.000{col 67}{space 4}-.0367066{col 80}{space 3}-.0103653
{txt}{space 23}7  {c |}{col 27}{res}{space 2} -.056445{col 39}{space 2} .0159786{col 50}{space 1}   -3.53{col 59}{space 3}0.000{col 67}{space 4}-.0877625{col 80}{space 3}-.0251275
{txt}{space 23}8  {c |}{col 27}{res}{space 2} -.013876{col 39}{space 2} .0061253{col 50}{space 1}   -2.27{col 59}{space 3}0.023{col 67}{space 4}-.0258815{col 80}{space 3}-.0018706
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0136551{col 39}{space 2} .0072491{col 50}{space 1}   -1.88{col 59}{space 3}0.060{col 67}{space 4}-.0278632{col 80}{space 3}  .000553
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0463712{col 39}{space 2} .0118668{col 50}{space 1}   -3.91{col 59}{space 3}0.000{col 67}{space 4}-.0696298{col 80}{space 3}-.0231126
{txt}{space 22}12  {c |}{col 27}{res}{space 2}-.0014239{col 39}{space 2} .0089487{col 50}{space 1}   -0.16{col 59}{space 3}0.874{col 67}{space 4} -.018963{col 80}{space 3} .0161152
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0043138{col 39}{space 2} .0077196{col 50}{space 1}    0.56{col 59}{space 3}0.576{col 67}{space 4}-.0108165{col 80}{space 3} .0194441
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0004412{col 39}{space 2} .0063562{col 50}{space 1}    0.07{col 59}{space 3}0.945{col 67}{space 4}-.0120168{col 80}{space 3} .0128992
{txt}{space 22}15  {c |}{col 27}{res}{space 2}-.0075293{col 39}{space 2} .0061072{col 50}{space 1}   -1.23{col 59}{space 3}0.218{col 67}{space 4}-.0194993{col 80}{space 3} .0044407
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.0208647{col 39}{space 2} .0056407{col 50}{space 1}   -3.70{col 59}{space 3}0.000{col 67}{space 4}-.0319203{col 80}{space 3}-.0098092
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0153547{col 39}{space 2}  .024908{col 50}{space 1}   -0.62{col 59}{space 3}0.538{col 67}{space 4}-.0641737{col 80}{space 3} .0334642
{txt}{space 22}18  {c |}{col 27}{res}{space 2} -.025103{col 39}{space 2} .0159953{col 50}{space 1}   -1.57{col 59}{space 3}0.117{col 67}{space 4}-.0564534{col 80}{space 3} .0062474
{txt}{space 22}19  {c |}{col 27}{res}{space 2}-.0231574{col 39}{space 2} .0134793{col 50}{space 1}   -1.72{col 59}{space 3}0.086{col 67}{space 4}-.0495765{col 80}{space 3} .0032616
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0377591{col 39}{space 2} .0098113{col 50}{space 1}   -3.85{col 59}{space 3}0.000{col 67}{space 4}-.0569889{col 80}{space 3}-.0185293
{txt}{space 22}22  {c |}{col 27}{res}{space 2}-.0059086{col 39}{space 2} .0045046{col 50}{space 1}   -1.31{col 59}{space 3}0.190{col 67}{space 4}-.0147375{col 80}{space 3} .0029203
{txt}{space 22}23  {c |}{col 27}{res}{space 2}-.0013365{col 39}{space 2} .0044703{col 50}{space 1}   -0.30{col 59}{space 3}0.765{col 67}{space 4}-.0100982{col 80}{space 3} .0074253
{txt}{space 22}24  {c |}{col 27}{res}{space 2}-.0003565{col 39}{space 2} .0044965{col 50}{space 1}   -0.08{col 59}{space 3}0.937{col 67}{space 4}-.0091695{col 80}{space 3} .0084565
{txt}{space 22}25  {c |}{col 27}{res}{space 2}-.0036791{col 39}{space 2} .0049907{col 50}{space 1}   -0.74{col 59}{space 3}0.461{col 67}{space 4}-.0134607{col 80}{space 3} .0061026
{txt}{space 22}26  {c |}{col 27}{res}{space 2}-.0044446{col 39}{space 2}   .00491{col 50}{space 1}   -0.91{col 59}{space 3}0.365{col 67}{space 4}-.0140681{col 80}{space 3} .0051789
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-.0133232{col 39}{space 2} .0122967{col 50}{space 1}   -1.08{col 59}{space 3}0.279{col 67}{space 4}-.0374244{col 80}{space 3} .0107781
{txt}{space 22}28  {c |}{col 27}{res}{space 2}-.0063378{col 39}{space 2} .0053872{col 50}{space 1}   -1.18{col 59}{space 3}0.239{col 67}{space 4}-.0168967{col 80}{space 3}  .004221
{txt}{space 22}29  {c |}{col 27}{res}{space 2} -.013804{col 39}{space 2} .0052499{col 50}{space 1}   -2.63{col 59}{space 3}0.009{col 67}{space 4}-.0240936{col 80}{space 3}-.0035144
{txt}{space 22}30  {c |}{col 27}{res}{space 2} -.017707{col 39}{space 2}  .008624{col 50}{space 1}   -2.05{col 59}{space 3}0.040{col 67}{space 4}-.0346097{col 80}{space 3}-.0008042
{txt}{space 22}32  {c |}{col 27}{res}{space 2}-.0021394{col 39}{space 2} .0044903{col 50}{space 1}   -0.48{col 59}{space 3}0.634{col 67}{space 4}-.0109402{col 80}{space 3} .0066614
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .0011037{col 39}{space 2} .0044734{col 50}{space 1}    0.25{col 59}{space 3}0.805{col 67}{space 4}-.0076641{col 80}{space 3} .0098715
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .0032891{col 39}{space 2} .0045105{col 50}{space 1}    0.73{col 59}{space 3}0.466{col 67}{space 4}-.0055513{col 80}{space 3} .0121296
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .0026516{col 39}{space 2} .0045917{col 50}{space 1}    0.58{col 59}{space 3}0.564{col 67}{space 4}-.0063481{col 80}{space 3} .0116512
{txt}{space 22}36  {c |}{col 27}{res}{space 2} -.001926{col 39}{space 2}  .004624{col 50}{space 1}   -0.42{col 59}{space 3}0.677{col 67}{space 4}-.0109889{col 80}{space 3} .0071369
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .0036361{col 39}{space 2} .0096834{col 50}{space 1}    0.38{col 59}{space 3}0.707{col 67}{space 4}-.0153432{col 80}{space 3} .0226153
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .0017636{col 39}{space 2} .0082302{col 50}{space 1}    0.21{col 59}{space 3}0.830{col 67}{space 4}-.0143673{col 80}{space 3} .0178945
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0045857{col 39}{space 2} .0068931{col 50}{space 1}   -0.67{col 59}{space 3}0.506{col 67}{space 4} -.018096{col 80}{space 3} .0089246
{txt}{space 22}40  {c |}{col 27}{res}{space 2}  .002598{col 39}{space 2} .0075169{col 50}{space 1}    0.35{col 59}{space 3}0.730{col 67}{space 4}-.0121349{col 80}{space 3} .0173309
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0030089{col 39}{space 2} .0057052{col 50}{space 1}   -0.53{col 59}{space 3}0.598{col 67}{space 4}-.0141909{col 80}{space 3} .0081731
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0042835{col 39}{space 2} .0353552{col 50}{space 1}   -0.12{col 59}{space 3}0.904{col 67}{space 4}-.0735788{col 80}{space 3} .0650118
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0023433{col 39}{space 2} .0071996{col 50}{space 1}   -0.33{col 59}{space 3}0.745{col 67}{space 4}-.0164544{col 80}{space 3} .0117678
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0844908{col 39}{space 2}   .04694{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-.1764919{col 80}{space 3} .0075104
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0019975{col 39}{space 2} .0048549{col 50}{space 1}    0.41{col 59}{space 3}0.681{col 67}{space 4}-.0075181{col 80}{space 3}  .011513
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0164543{col 39}{space 2} .0258558{col 50}{space 1}    0.64{col 59}{space 3}0.525{col 67}{space 4}-.0342224{col 80}{space 3} .0671309
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0110772{col 39}{space 2} .0098806{col 50}{space 1}    1.12{col 59}{space 3}0.262{col 67}{space 4}-.0082885{col 80}{space 3} .0304429
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0396859{col 39}{space 2} .0443444{col 50}{space 1}    0.89{col 59}{space 3}0.371{col 67}{space 4}-.0472279{col 80}{space 3} .1265997
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} -.005636{col 39}{space 2} .0063209{col 50}{space 1}   -0.89{col 59}{space 3}0.373{col 67}{space 4}-.0180248{col 80}{space 3} .0067527
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0927785{col 39}{space 2} .0325745{col 50}{space 1}   -2.85{col 59}{space 3}0.004{col 67}{space 4}-.1566236{col 80}{space 3}-.0289335
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0327418{col 39}{space 2} .0205364{col 50}{space 1}    1.59{col 59}{space 3}0.111{col 67}{space 4}-.0075089{col 80}{space 3} .0729926
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1673046{col 39}{space 2} .1442748{col 50}{space 1}   -1.16{col 59}{space 3}0.246{col 67}{space 4}-.4500792{col 80}{space 3}   .11547
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0015057{col 39}{space 2} .0054415{col 50}{space 1}   -0.28{col 59}{space 3}0.782{col 67}{space 4}-.0121709{col 80}{space 3} .0091595
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0316708{col 39}{space 2} .0305297{col 50}{space 1}   -1.04{col 59}{space 3}0.300{col 67}{space 4}-.0915082{col 80}{space 3} .0281666
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0006251{col 39}{space 2} .0075863{col 50}{space 1}   -0.08{col 59}{space 3}0.934{col 67}{space 4} -.015494{col 80}{space 3} .0142438
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} -.018596{col 39}{space 2} .0410125{col 50}{space 1}   -0.45{col 59}{space 3}0.650{col 67}{space 4}-.0989795{col 80}{space 3} .0617874
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0015008{col 39}{space 2} .0145437{col 50}{space 1}   -0.10{col 59}{space 3}0.918{col 67}{space 4}-.0300062{col 80}{space 3} .0270045
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2} -.020736{col 39}{space 2} .0883705{col 50}{space 1}   -0.23{col 59}{space 3}0.814{col 67}{space 4}-.1939397{col 80}{space 3} .1524677
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0017135{col 39}{space 2} .0099979{col 50}{space 1}   -0.17{col 59}{space 3}0.864{col 67}{space 4}-.0213092{col 80}{space 3} .0178822
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}   -.0217{col 39}{space 2} .1150124{col 50}{space 1}   -0.19{col 59}{space 3}0.850{col 67}{space 4}-.2471211{col 80}{space 3} .2037211
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} -.008546{col 39}{space 2} .0080358{col 50}{space 1}   -1.06{col 59}{space 3}0.288{col 67}{space 4} -.024296{col 80}{space 3}  .007204
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0273806{col 39}{space 2} .0307708{col 50}{space 1}    0.89{col 59}{space 3}0.374{col 67}{space 4}-.0329293{col 80}{space 3} .0876905
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0043566{col 39}{space 2} .0057889{col 50}{space 1}   -0.75{col 59}{space 3}0.452{col 67}{space 4}-.0157027{col 80}{space 3} .0069895
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0046964{col 39}{space 2} .0376538{col 50}{space 1}   -0.12{col 59}{space 3}0.901{col 67}{space 4}-.0784969{col 80}{space 3}  .069104
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0033297{col 39}{space 2} .0053735{col 50}{space 1}    0.62{col 59}{space 3}0.535{col 67}{space 4}-.0072023{col 80}{space 3} .0138616
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0026199{col 39}{space 2} .0308992{col 50}{space 1}    0.08{col 59}{space 3}0.932{col 67}{space 4}-.0579417{col 80}{space 3} .0631815
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0052888{col 39}{space 2} .0043178{col 50}{space 1}    1.22{col 59}{space 3}0.221{col 67}{space 4} -.003174{col 80}{space 3} .0137516
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0197881{col 39}{space 2} .0233595{col 50}{space 1}    0.85{col 59}{space 3}0.397{col 67}{space 4}-.0259958{col 80}{space 3}  .065572
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}  -.00504{col 39}{space 2} .0310209{col 50}{space 1}   -0.16{col 59}{space 3}0.871{col 67}{space 4}-.0658401{col 80}{space 3} .0557601
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1379539{col 39}{space 2} .0661618{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0082787{col 80}{space 3} .2676291
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0121521{col 39}{space 2} .0200173{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.0270812{col 80}{space 3} .0513855
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1047149{col 39}{space 2} .0919894{col 50}{space 1}    1.14{col 59}{space 3}0.255{col 67}{space 4}-.0755817{col 80}{space 3} .2850116
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}  .015811{col 39}{space 2} .0169994{col 50}{space 1}    0.93{col 59}{space 3}0.352{col 67}{space 4}-.0175075{col 80}{space 3} .0491294
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0452193{col 39}{space 2} .1015995{col 50}{space 1}   -0.45{col 59}{space 3}0.656{col 67}{space 4}-.2443514{col 80}{space 3} .1539129
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0141023{col 39}{space 2} .0112548{col 50}{space 1}    1.25{col 59}{space 3}0.210{col 67}{space 4}-.0079568{col 80}{space 3} .0361614
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0139567{col 39}{space 2} .0582509{col 50}{space 1}   -0.24{col 59}{space 3}0.811{col 67}{space 4}-.1281269{col 80}{space 3} .1002135
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-6.61e-06{col 39}{space 2} .0000425{col 50}{space 1}   -0.16{col 59}{space 3}0.876{col 67}{space 4}-.0000899{col 80}{space 3} .0000767
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.67e-07{col 39}{space 2} 2.73e-07{col 50}{space 1}    3.55{col 59}{space 3}0.000{col 67}{space 4} 4.32e-07{col 80}{space 3} 1.50e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0142268{col 39}{space 2} .0012107{col 50}{space 1}   11.75{col 59}{space 3}0.000{col 67}{space 4} .0118539{col 80}{space 3} .0165997
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003647{col 39}{space 2}  .000519{col 50}{space 1}    0.70{col 59}{space 3}0.482{col 67}{space 4}-.0006525{col 80}{space 3}  .001382
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0100548{col 39}{space 2} .0014851{col 50}{space 1}    6.77{col 59}{space 3}0.000{col 67}{space 4}  .007144{col 80}{space 3} .0129655
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000766{col 39}{space 2} .0000199{col 50}{space 1}   -3.85{col 59}{space 3}0.000{col 67}{space 4}-.0001156{col 80}{space 3}-.0000376
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.59e-06{col 39}{space 2} 1.72e-07{col 50}{space 1}    9.25{col 59}{space 3}0.000{col 67}{space 4} 1.25e-06{col 80}{space 3} 1.93e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0116126{col 39}{space 2} .0003806{col 50}{space 1}   30.51{col 59}{space 3}0.000{col 67}{space 4} .0108667{col 80}{space 3} .0123585
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010663{col 39}{space 2} .0001879{col 50}{space 1}    5.67{col 59}{space 3}0.000{col 67}{space 4}  .000698{col 80}{space 3} .0014346
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}  .416531{col 39}{space 2}    .0017{col 50}{space 1}  245.01{col 59}{space 3}0.000{col 67}{space 4} .4131989{col 80}{space 3}  .419863
{txt}{space 13}L_WorkOthers {c |}{col 27}{res}{space 2} .0337712{col 39}{space 2} .0153767{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .0036333{col 80}{space 3}  .063909
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2571.255
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6547.442
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1320.626
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018_L_WorkOthers WP_Voted2018_H_WorkOthers
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 3.WP_HPG_type 4.WP_HPG_type
{col 23}5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type 8.WP_HPG_type
{col 23}9.WP_HPG_type 10.WP_HPG_type 12.WP_HPG_type 13.WP_HPG_type
{col 23}14.WP_HPG_type 15.WP_HPG_type 16.WP_HPG_type
{col 23}17.WP_HPG_type 18.WP_HPG_type 19.WP_HPG_type
{col 23}20.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 32.WP_HPG_type 33.WP_HPG_type
{col 23}34.WP_HPG_type 35.WP_HPG_type 36.WP_HPG_type
{col 23}37.WP_HPG_type 38.WP_HPG_type 39.WP_HPG_type
{col 23}40.WP_HPG_type WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_12_2 WP_HPG_Edu_12_4
{col 23}WP_HPG_Edu_13_2 WP_HPG_Edu_13_4 WP_HPG_Edu_14_2
{col 23}WP_HPG_Edu_14_4 WP_HPG_Edu_15_2 WP_HPG_Edu_15_4
{col 23}WP_HPG_Edu_16_2 WP_HPG_Edu_16_4 WP_HPG_Edu_17_2
{col 23}WP_HPG_Edu_17_4 WP_HPG_Edu_18_2 WP_HPG_Edu_18_4
{col 23}WP_HPG_Edu_19_2 WP_HPG_Edu_19_4 WP_HPG_Edu_20_2
{col 23}WP_HPG_Edu_20_4 WP_Relative_Age2010 WP_Relative_Income
{col 23}WP_Relative_Married WP_Relative_NumberOfChildren
{col 23}WP_Relative_Employed diffIndexRel_Age2010
{col 23}diffIndexRel_Income diffIndexRel_Married
{col 23}diffIndexRel_NumChild Voted2018 L_WorkOthers
Excluded instruments:{col 23}WP_RelV2010_L_WorkOthers WP_RelV2010_H_WorkOthers
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}WP_HPG_Edu_1_2 WP_HPG_Edu_1_4 WP_HPG_Edu_11_2
{col 23}WP_HPG_Edu_11_4
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. * Continuous variable
. ivreghdfe Voted2022 $main_controls WorkWithOthers_c ///
> (WP_Voted2018 WP_Voted2018_WorkOthers_c = WP_Relative_Voted2010 WP_Rel_Voted2010_WorkOthers_c) ///
>  $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}WP_HPG_Edu_1_2 WP_HPG_Edu_1_4 WP_HPG_Edu_11_2
{col 21}WP_HPG_Edu_11_4
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298532{txt}{col 55}Number of obs = {res} 1584234
{txt}{col 55}F( 87,298531) = {res} 1385.69
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99281.92513{txt}{col 55}Centered R2   = {res}  0.2273
{txt}Total (uncentered) SS   = {res} 99281.92513{txt}{col 55}Uncentered R2 = {res}  0.2273
{txt}Residual SS             = {res} 76714.94303{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0784792{col 39}{space 2} .0167074{col 50}{space 1}    4.70{col 59}{space 3}0.000{col 67}{space 4} .0457331{col 80}{space 3} .1112253
{txt}WP_Voted2018_WorkOthers_c {c |}{col 27}{res}{space 2} .0014682{col 39}{space 2}  .000749{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} 2.57e-07{col 80}{space 3} .0029362
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353875{col 39}{space 2} .0010753{col 50}{space 1}   32.91{col 59}{space 3}0.000{col 67}{space 4}   .03328{col 80}{space 3}  .037495
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1225125{col 39}{space 2} .0010753{col 50}{space 1}  113.93{col 59}{space 3}0.000{col 67}{space 4} .1204049{col 80}{space 3} .1246202
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .102658{col 39}{space 2} .0012911{col 50}{space 1}   79.51{col 59}{space 3}0.000{col 67}{space 4} .1001275{col 80}{space 3} .1051885
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}3  {c |}{col 27}{res}{space 2}-.0036146{col 39}{space 2} .0071029{col 50}{space 1}   -0.51{col 59}{space 3}0.611{col 67}{space 4}-.0175362{col 80}{space 3}  .010307
{txt}{space 23}4  {c |}{col 27}{res}{space 2}-.0081824{col 39}{space 2} .0057633{col 50}{space 1}   -1.42{col 59}{space 3}0.156{col 67}{space 4}-.0194782{col 80}{space 3} .0031134
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-.0353846{col 39}{space 2} .0087486{col 50}{space 1}   -4.04{col 59}{space 3}0.000{col 67}{space 4}-.0525316{col 80}{space 3}-.0182375
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0235017{col 39}{space 2} .0067283{col 50}{space 1}   -3.49{col 59}{space 3}0.000{col 67}{space 4}-.0366889{col 80}{space 3}-.0103144
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0565148{col 39}{space 2} .0159758{col 50}{space 1}   -3.54{col 59}{space 3}0.000{col 67}{space 4}-.0878268{col 80}{space 3}-.0252027
{txt}{space 23}8  {c |}{col 27}{res}{space 2} -.013642{col 39}{space 2} .0061261{col 50}{space 1}   -2.23{col 59}{space 3}0.026{col 67}{space 4} -.025649{col 80}{space 3} -.001635
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0140367{col 39}{space 2} .0072465{col 50}{space 1}   -1.94{col 59}{space 3}0.053{col 67}{space 4}-.0282397{col 80}{space 3} .0001662
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0467423{col 39}{space 2} .0118622{col 50}{space 1}   -3.94{col 59}{space 3}0.000{col 67}{space 4} -.069992{col 80}{space 3}-.0234927
{txt}{space 22}12  {c |}{col 27}{res}{space 2}-.0014411{col 39}{space 2} .0089439{col 50}{space 1}   -0.16{col 59}{space 3}0.872{col 67}{space 4}-.0189708{col 80}{space 3} .0160887
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0044546{col 39}{space 2} .0077165{col 50}{space 1}    0.58{col 59}{space 3}0.564{col 67}{space 4}-.0106696{col 80}{space 3} .0195788
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0003633{col 39}{space 2}  .006359{col 50}{space 1}    0.06{col 59}{space 3}0.954{col 67}{space 4}-.0121002{col 80}{space 3} .0128267
{txt}{space 22}15  {c |}{col 27}{res}{space 2}-.0073397{col 39}{space 2} .0061055{col 50}{space 1}   -1.20{col 59}{space 3}0.229{col 67}{space 4}-.0193063{col 80}{space 3}  .004627
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.0211121{col 39}{space 2} .0056453{col 50}{space 1}   -3.74{col 59}{space 3}0.000{col 67}{space 4}-.0321767{col 80}{space 3}-.0100476
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0153703{col 39}{space 2} .0249177{col 50}{space 1}   -0.62{col 59}{space 3}0.537{col 67}{space 4}-.0642084{col 80}{space 3} .0334678
{txt}{space 22}18  {c |}{col 27}{res}{space 2}-.0249551{col 39}{space 2} .0159977{col 50}{space 1}   -1.56{col 59}{space 3}0.119{col 67}{space 4}-.0563101{col 80}{space 3}    .0064
{txt}{space 22}19  {c |}{col 27}{res}{space 2}-.0232219{col 39}{space 2} .0134755{col 50}{space 1}   -1.72{col 59}{space 3}0.085{col 67}{space 4}-.0496335{col 80}{space 3} .0031898
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0375266{col 39}{space 2} .0098165{col 50}{space 1}   -3.82{col 59}{space 3}0.000{col 67}{space 4}-.0567666{col 80}{space 3}-.0182866
{txt}{space 22}22  {c |}{col 27}{res}{space 2}-.0057065{col 39}{space 2} .0045018{col 50}{space 1}   -1.27{col 59}{space 3}0.205{col 67}{space 4}  -.01453{col 80}{space 3}  .003117
{txt}{space 22}23  {c |}{col 27}{res}{space 2}-.0012528{col 39}{space 2} .0044673{col 50}{space 1}   -0.28{col 59}{space 3}0.779{col 67}{space 4}-.0100085{col 80}{space 3} .0075029
{txt}{space 22}24  {c |}{col 27}{res}{space 2}-.0003832{col 39}{space 2} .0044989{col 50}{space 1}   -0.09{col 59}{space 3}0.932{col 67}{space 4} -.009201{col 80}{space 3} .0084346
{txt}{space 22}25  {c |}{col 27}{res}{space 2}-.0037441{col 39}{space 2} .0049897{col 50}{space 1}   -0.75{col 59}{space 3}0.453{col 67}{space 4}-.0135238{col 80}{space 3} .0060355
{txt}{space 22}26  {c |}{col 27}{res}{space 2} -.004148{col 39}{space 2} .0049055{col 50}{space 1}   -0.85{col 59}{space 3}0.398{col 67}{space 4}-.0137627{col 80}{space 3} .0054667
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-.0135422{col 39}{space 2} .0122959{col 50}{space 1}   -1.10{col 59}{space 3}0.271{col 67}{space 4}-.0376418{col 80}{space 3} .0105575
{txt}{space 22}28  {c |}{col 27}{res}{space 2}-.0063906{col 39}{space 2} .0053892{col 50}{space 1}   -1.19{col 59}{space 3}0.236{col 67}{space 4}-.0169532{col 80}{space 3}  .004172
{txt}{space 22}29  {c |}{col 27}{res}{space 2}-.0137649{col 39}{space 2} .0052503{col 50}{space 1}   -2.62{col 59}{space 3}0.009{col 67}{space 4}-.0240554{col 80}{space 3}-.0034744
{txt}{space 22}30  {c |}{col 27}{res}{space 2}-.0179583{col 39}{space 2} .0086173{col 50}{space 1}   -2.08{col 59}{space 3}0.037{col 67}{space 4} -.034848{col 80}{space 3}-.0010687
{txt}{space 22}32  {c |}{col 27}{res}{space 2}-.0019447{col 39}{space 2} .0044876{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.0107401{col 80}{space 3} .0068508
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .0013389{col 39}{space 2} .0044702{col 50}{space 1}    0.30{col 59}{space 3}0.765{col 67}{space 4}-.0074225{col 80}{space 3} .0101004
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .0032377{col 39}{space 2} .0045109{col 50}{space 1}    0.72{col 59}{space 3}0.473{col 67}{space 4}-.0056037{col 80}{space 3}  .012079
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .0028265{col 39}{space 2} .0045898{col 50}{space 1}    0.62{col 59}{space 3}0.538{col 67}{space 4}-.0061694{col 80}{space 3} .0118224
{txt}{space 22}36  {c |}{col 27}{res}{space 2}-.0018174{col 39}{space 2} .0046204{col 50}{space 1}   -0.39{col 59}{space 3}0.694{col 67}{space 4}-.0108732{col 80}{space 3} .0072385
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .0035728{col 39}{space 2} .0096855{col 50}{space 1}    0.37{col 59}{space 3}0.712{col 67}{space 4}-.0154106{col 80}{space 3} .0225561
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .0016636{col 39}{space 2} .0082399{col 50}{space 1}    0.20{col 59}{space 3}0.840{col 67}{space 4}-.0144863{col 80}{space 3} .0178135
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0046019{col 39}{space 2} .0068924{col 50}{space 1}   -0.67{col 59}{space 3}0.504{col 67}{space 4}-.0181109{col 80}{space 3}  .008907
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .0024318{col 39}{space 2}  .007518{col 50}{space 1}    0.32{col 59}{space 3}0.746{col 67}{space 4}-.0123033{col 80}{space 3} .0171669
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0028936{col 39}{space 2} .0056999{col 50}{space 1}   -0.51{col 59}{space 3}0.612{col 67}{space 4}-.0140653{col 80}{space 3}  .008278
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0040502{col 39}{space 2}  .035344{col 50}{space 1}   -0.11{col 59}{space 3}0.909{col 67}{space 4}-.0733235{col 80}{space 3}  .065223
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} -.002339{col 39}{space 2} .0072001{col 50}{space 1}   -0.32{col 59}{space 3}0.745{col 67}{space 4} -.016451{col 80}{space 3} .0117729
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0846057{col 39}{space 2} .0469726{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-.1766706{col 80}{space 3} .0074592
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}  .001984{col 39}{space 2} .0048563{col 50}{space 1}    0.41{col 59}{space 3}0.683{col 67}{space 4}-.0075343{col 80}{space 3} .0115023
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0163917{col 39}{space 2} .0258639{col 50}{space 1}    0.63{col 59}{space 3}0.526{col 67}{space 4}-.0343009{col 80}{space 3} .0670843
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0116101{col 39}{space 2} .0098817{col 50}{space 1}    1.17{col 59}{space 3}0.240{col 67}{space 4}-.0077578{col 80}{space 3}  .030978
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0393346{col 39}{space 2} .0443477{col 50}{space 1}    0.89{col 59}{space 3}0.375{col 67}{space 4}-.0475857{col 80}{space 3} .1262549
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0053969{col 39}{space 2} .0063259{col 50}{space 1}   -0.85{col 59}{space 3}0.394{col 67}{space 4}-.0177954{col 80}{space 3} .0070016
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0927517{col 39}{space 2} .0325847{col 50}{space 1}   -2.85{col 59}{space 3}0.004{col 67}{space 4}-.1566167{col 80}{space 3}-.0288866
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0326576{col 39}{space 2} .0205309{col 50}{space 1}    1.59{col 59}{space 3}0.112{col 67}{space 4}-.0075823{col 80}{space 3} .0728976
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1674307{col 39}{space 2} .1442129{col 50}{space 1}   -1.16{col 59}{space 3}0.246{col 67}{space 4} -.450084{col 80}{space 3} .1152226
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0016689{col 39}{space 2} .0054416{col 50}{space 1}   -0.31{col 59}{space 3}0.759{col 67}{space 4}-.0123342{col 80}{space 3} .0089964
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} -.031389{col 39}{space 2} .0305501{col 50}{space 1}   -1.03{col 59}{space 3}0.304{col 67}{space 4}-.0912664{col 80}{space 3} .0284884
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0005103{col 39}{space 2} .0075849{col 50}{space 1}   -0.07{col 59}{space 3}0.946{col 67}{space 4}-.0153765{col 80}{space 3} .0143559
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0187418{col 39}{space 2} .0410041{col 50}{space 1}   -0.46{col 59}{space 3}0.648{col 67}{space 4}-.0991087{col 80}{space 3} .0616252
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0015384{col 39}{space 2} .0145378{col 50}{space 1}   -0.11{col 59}{space 3}0.916{col 67}{space 4}-.0300321{col 80}{space 3} .0269553
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0208369{col 39}{space 2} .0883952{col 50}{space 1}   -0.24{col 59}{space 3}0.814{col 67}{space 4}-.1940891{col 80}{space 3} .1524152
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0015273{col 39}{space 2} .0099944{col 50}{space 1}   -0.15{col 59}{space 3}0.879{col 67}{space 4} -.021116{col 80}{space 3} .0180613
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} -.021035{col 39}{space 2} .1150976{col 50}{space 1}   -0.18{col 59}{space 3}0.855{col 67}{space 4}-.2466231{col 80}{space 3} .2045531
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0084903{col 39}{space 2} .0080382{col 50}{space 1}   -1.06{col 59}{space 3}0.291{col 67}{space 4}-.0242449{col 80}{space 3} .0072643
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0277165{col 39}{space 2} .0307351{col 50}{space 1}    0.90{col 59}{space 3}0.367{col 67}{space 4}-.0325235{col 80}{space 3} .0879564
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0042989{col 39}{space 2} .0057908{col 50}{space 1}   -0.74{col 59}{space 3}0.458{col 67}{space 4}-.0156486{col 80}{space 3} .0070509
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0052471{col 39}{space 2} .0376251{col 50}{space 1}   -0.14{col 59}{space 3}0.889{col 67}{space 4}-.0789912{col 80}{space 3}  .068497
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0033049{col 39}{space 2} .0053744{col 50}{space 1}    0.61{col 59}{space 3}0.539{col 67}{space 4}-.0072288{col 80}{space 3} .0138386
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0026492{col 39}{space 2} .0308991{col 50}{space 1}    0.09{col 59}{space 3}0.932{col 67}{space 4}-.0579121{col 80}{space 3} .0632105
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0055962{col 39}{space 2} .0043214{col 50}{space 1}    1.29{col 59}{space 3}0.195{col 67}{space 4}-.0028737{col 80}{space 3} .0140661
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0200584{col 39}{space 2} .0233552{col 50}{space 1}    0.86{col 59}{space 3}0.390{col 67}{space 4}-.0257172{col 80}{space 3}  .065834
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0051795{col 39}{space 2} .0310333{col 50}{space 1}   -0.17{col 59}{space 3}0.867{col 67}{space 4} -.066004{col 80}{space 3} .0556449
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1376098{col 39}{space 2} .0659617{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0083268{col 80}{space 3} .2668929
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0120112{col 39}{space 2}  .020021{col 50}{space 1}    0.60{col 59}{space 3}0.549{col 67}{space 4}-.0272295{col 80}{space 3} .0512518
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1036671{col 39}{space 2} .0921999{col 50}{space 1}    1.12{col 59}{space 3}0.261{col 67}{space 4} -.077042{col 80}{space 3} .2843762
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0156162{col 39}{space 2} .0169923{col 50}{space 1}    0.92{col 59}{space 3}0.358{col 67}{space 4}-.0176883{col 80}{space 3} .0489206
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0449409{col 39}{space 2} .1017655{col 50}{space 1}   -0.44{col 59}{space 3}0.659{col 67}{space 4}-.2443983{col 80}{space 3} .1545166
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0138393{col 39}{space 2} .0112566{col 50}{space 1}    1.23{col 59}{space 3}0.219{col 67}{space 4}-.0082233{col 80}{space 3} .0359018
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0140504{col 39}{space 2} .0582839{col 50}{space 1}   -0.24{col 59}{space 3}0.810{col 67}{space 4}-.1282852{col 80}{space 3} .1001844
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-9.81e-06{col 39}{space 2} .0000424{col 50}{space 1}   -0.23{col 59}{space 3}0.817{col 67}{space 4} -.000093{col 80}{space 3} .0000734
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.71e-07{col 39}{space 2} 2.73e-07{col 50}{space 1}    3.56{col 59}{space 3}0.000{col 67}{space 4} 4.37e-07{col 80}{space 3} 1.51e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0142596{col 39}{space 2} .0012109{col 50}{space 1}   11.78{col 59}{space 3}0.000{col 67}{space 4} .0118863{col 80}{space 3} .0166329
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003781{col 39}{space 2} .0005189{col 50}{space 1}    0.73{col 59}{space 3}0.466{col 67}{space 4}-.0006389{col 80}{space 3} .0013951
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}  .010108{col 39}{space 2} .0014849{col 50}{space 1}    6.81{col 59}{space 3}0.000{col 67}{space 4} .0071977{col 80}{space 3} .0130183
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000787{col 39}{space 2} .0000199{col 50}{space 1}   -3.96{col 59}{space 3}0.000{col 67}{space 4}-.0001176{col 80}{space 3}-.0000397
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.59e-06{col 39}{space 2} 1.72e-07{col 50}{space 1}    9.25{col 59}{space 3}0.000{col 67}{space 4} 1.25e-06{col 80}{space 3} 1.93e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0116194{col 39}{space 2} .0003806{col 50}{space 1}   30.53{col 59}{space 3}0.000{col 67}{space 4} .0108735{col 80}{space 3} .0123653
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010681{col 39}{space 2} .0001879{col 50}{space 1}    5.69{col 59}{space 3}0.000{col 67}{space 4} .0006999{col 80}{space 3} .0014363
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}   .41656{col 39}{space 2} .0017001{col 50}{space 1}  245.01{col 59}{space 3}0.000{col 67}{space 4} .4132278{col 80}{space 3} .4198923
{txt}{space 9}WorkWithOthers_c {c |}{col 27}{res}{space 2}-.0014368{col 39}{space 2} .0007113{col 50}{space 1}   -2.02{col 59}{space 3}0.043{col 67}{space 4}-.0028309{col 80}{space 3}-.0000428
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2558.300
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6509.430
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1312.475
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018 WP_Voted2018_WorkOthers_c
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 3.WP_HPG_type 4.WP_HPG_type
{col 23}5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type 8.WP_HPG_type
{col 23}9.WP_HPG_type 10.WP_HPG_type 12.WP_HPG_type 13.WP_HPG_type
{col 23}14.WP_HPG_type 15.WP_HPG_type 16.WP_HPG_type
{col 23}17.WP_HPG_type 18.WP_HPG_type 19.WP_HPG_type
{col 23}20.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 32.WP_HPG_type 33.WP_HPG_type
{col 23}34.WP_HPG_type 35.WP_HPG_type 36.WP_HPG_type
{col 23}37.WP_HPG_type 38.WP_HPG_type 39.WP_HPG_type
{col 23}40.WP_HPG_type WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_12_2 WP_HPG_Edu_12_4
{col 23}WP_HPG_Edu_13_2 WP_HPG_Edu_13_4 WP_HPG_Edu_14_2
{col 23}WP_HPG_Edu_14_4 WP_HPG_Edu_15_2 WP_HPG_Edu_15_4
{col 23}WP_HPG_Edu_16_2 WP_HPG_Edu_16_4 WP_HPG_Edu_17_2
{col 23}WP_HPG_Edu_17_4 WP_HPG_Edu_18_2 WP_HPG_Edu_18_4
{col 23}WP_HPG_Edu_19_2 WP_HPG_Edu_19_4 WP_HPG_Edu_20_2
{col 23}WP_HPG_Edu_20_4 WP_Relative_Age2010 WP_Relative_Income
{col 23}WP_Relative_Married WP_Relative_NumberOfChildren
{col 23}WP_Relative_Employed diffIndexRel_Age2010
{col 23}diffIndexRel_Income diffIndexRel_Married
{col 23}diffIndexRel_NumChild Voted2018 WorkWithOthers_c
Excluded instruments:{col 23}WP_Relative_Voted2010 WP_Rel_Voted2010_WorkOthers_c
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}WP_HPG_Edu_1_2 WP_HPG_Edu_1_4 WP_HPG_Edu_11_2
{col 23}WP_HPG_Edu_11_4
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. 
. *****************************************************************
. ***********APPENDIX  ***********
. ***************************************************************
. 
. 
. *****************************************************************
. *********** TABLE A1 Descriptives *********
. *****************************************************************
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. su Voted2022 WP_Voted2018 Relative_Voted2010 IndexWorkerVoted2010 IndexWorkerVoted2010Miss  $WP_Relative_X $DiffIndexRel  Female EduCollege Age2010 Income Married NumberOfChildren ParentsVoted2010 $insample 

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}Voted2022 {c |}{res}  1,585,336    .9314631     .252665          0          1
{txt}WP_Voted2018 {c |}{res}  1,585,336    .9404536    .1362344          0          1
{txt}Relative_V~0 {c |}{res}  1,585,336    .8851273    .2098565          0          1
{txt}IndexWo~2010 {c |}{res}  1,585,336    .7913206    .4063649          0          1
{txt}IndexWorke~s {c |}{res}  1,585,336    .1159521    .3201675          0          1
{txt}{hline 13}{c +}{hline 57}
WP_Rel~e2010 {c |}{res}  1,585,336    41.87513    5.907265         18   78.00001
{txt}WP_Relati~me {c |}{res}  1,585,336    2142.619    1007.875  -9.09e-13     119678
{txt}WP_Relat~ied {c |}{res}  1,585,336    .3892071    .1856012  -1.49e-08          1
{txt}WP_Relativ~n {c |}{res}  1,585,336    .9410958    .4178705  -5.96e-08         11
{txt}WP_Relat~yed {c |}{res}  1,585,336    .6392087    .1537937          0          1
{txt}{hline 13}{c +}{hline 57}
diffInd~2010 {c |}{res}  1,585,336   -6.810057    12.97947        -65         39
{txt}diffIndexR~e {c |}{res}  1,585,336    1750.936    2524.051    -115715   776340.1
{txt}diffIndex~ed {c |}{res}  1,585,336    .0137428    .5122134         -1          1
{txt}diffIndex~ld {c |}{res}  1,585,336    .0291307    1.143856        -11   12.93672
{txt}{space 6}Female {c |}{res}  1,585,336    .4989144     .499999          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}EduCollege {c |}{res}  1,585,336     .401723    .4902467          0          1
{txt}{space 5}Age2010 {c |}{res}  1,585,336    35.06508    12.14107         10         57
{txt}{space 6}Income {c |}{res}  1,585,336    3893.555     2535.47       1000     778213
{txt}{space 5}Married {c |}{res}  1,585,336    .4029499     .490491          0          1
{txt}NumberOfCh~n {c |}{res}  1,585,336    .9702265    1.063829          0         14
{txt}{hline 13}{c +}{hline 57}
Parents~2010 {c |}{res}  1,585,336    .8541224    .3529836          0          1
{txt}
{com}. 
. 
. *****************************************************************
. *********** TABLE A2 Descriptives firms  *********
. *****************************************************************
. 
. 
. * 1. Save identifiers for sample of firms
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. 
. setup_macros_covariates 

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. keep $insample
{txt}(498,614 observations deleted)

{com}. keep P0846_lopnr_PeOrgNr
{txt}
{com}. duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,510,466 observations deleted)

{com}. gen firm_in_sample = 1
{txt}
{com}. save Data/tmp_firms_in_sample, replace
{txt}{p 0 4 2}
file {bf}
Data/tmp_firms_in_sample.dta{rm}
saved
{p_end}

{com}. 
. * 2. Save identifiers for population of firms
. use Data/data_firm_X_2017, clear
{txt}
{com}. 
. * Detect inactive firms and outliers
. drop if Ftg_Antal_anstallda < 2
{txt}(290,498 observations deleted)

{com}. drop if Ftg_Antal_anstallda == .
{txt}(0 observations deleted)

{com}. drop if Ftg_Nettoomsattning_miss == 1
{txt}(92,082 observations deleted)

{com}. drop if Ftg_Nettoomsattning <= 0 
{txt}(1,076 observations deleted)

{com}. drop if Org_Sni2007 == 0
{txt}(15 observations deleted)

{com}. drop if Org_LoneSum <= 0
{txt}(528 observations deleted)

{com}. 
. gen double wage_per_employee = Org_LoneSum/Ftg_Antal_anstallda
{txt}
{com}. drop if wage_per_employee < 0
{txt}(0 observations deleted)

{com}. sum wage_per_employee, det

                      {txt}wage_per_employee
{hline 61}
      Percentiles      Smallest
 1%    {res}     59.5             .4
{txt} 5%    {res}    134.5             .5
{txt}10%    {res}      182             .5       {txt}Obs         {res}    163,125
{txt}25%    {res}  256.375       .8883488       {txt}Sum of wgt. {res}    163,125

{txt}50%    {res}      333                      {txt}Mean          {res} 348.0886
                        {txt}Largest       Std. dev.     {res} 179.9929
{txt}75%    {res} 411.3333           7367
{txt}90%    {res} 505.8333         7585.8       {txt}Variance      {res} 32397.43
{txt}95%    {res}    589.5       9064.333       {txt}Skewness      {res} 8.533317
{txt}99%    {res}    882.5        13252.2       {txt}Kurtosis      {res} 302.0761
{txt}
{com}. * Drop below and above the 5th and 95th percentile
. drop if wage_per_employee > 589 | wage_per_employee < 135
{txt}(16,386 observations deleted)

{com}. 
. keep P0846_lopnr_PeOrgNr
{txt}
{com}. duplicates drop 

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}. 
. save Data/tmp_firms_in_population, replace
{txt}{p 0 4 2}
file {bf}
Data/tmp_firms_in_population.dta{rm}
saved
{p_end}

{com}. 
. * 3. Construct firm variables based on firm register and individual
. * register on individuals working at the firms.
. 
. * First save SNI section
. use Data/data_ind_X_2017, clear
{txt}
{com}. keep if WP_P0846_lopnr_PeOrgNr != .
{txt}(2,431,151 observations deleted)

{com}. keep WP_P0846_lopnr_PeOrgNr WP_SNI_Section
{txt}
{com}. rename WP_P0846_lopnr_PeOrgNr P0846_lopnr_PeOrgNr
{res}{txt}
{com}. rename WP_SNI_Section SNI_Section
{res}{txt}
{com}. duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(5,136,680 observations deleted)

{com}. save Data/tmp_SNI_section, replace
{txt}{p 0 4 2}
file {bf}
Data/tmp_SNI_section.dta{rm}
saved
{p_end}

{com}. 
. * Then count number of workplaces
. use Data/data_ind_X_2017, clear
{txt}
{com}. keep if WP_P0846_lopnr_PeOrgNr != .
{txt}(2,431,151 observations deleted)

{com}. keep WP_P0846_lopnr_PeOrgNr WorkplaceId
{txt}
{com}. rename WP_P0846_lopnr_PeOrgNr P0846_lopnr_PeOrgNr
{res}{txt}
{com}. duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(5,056,647 observations deleted)

{com}. sort P0846_lopnr_PeOrgNr WorkplaceId
{txt}
{com}. drop if WorkplaceId == .
{txt}(51,121 observations deleted)

{com}. collapse (count)NumWorkplaces = WorkplaceId, by(P0846_lopnr_PeOrgNr)
{res}{txt}
{com}. tab NumWorkplaces, miss

    {txt}(count) {c |}
WorkplaceId {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}    607,682       98.75       98.75
{txt}          2 {c |}{res}      2,731        0.44       99.20
{txt}          3 {c |}{res}      1,396        0.23       99.42
{txt}          4 {c |}{res}        832        0.14       99.56
{txt}          5 {c |}{res}        507        0.08       99.64
{txt}          6 {c |}{res}        353        0.06       99.70
{txt}          7 {c |}{res}        233        0.04       99.74
{txt}          8 {c |}{res}        156        0.03       99.76
{txt}          9 {c |}{res}        142        0.02       99.79
{txt}         10 {c |}{res}         90        0.01       99.80
{txt}         11 {c |}{res}         87        0.01       99.81
{txt}         12 {c |}{res}         77        0.01       99.83
{txt}         13 {c |}{res}         61        0.01       99.84
{txt}         14 {c |}{res}         43        0.01       99.84
{txt}         15 {c |}{res}         49        0.01       99.85
{txt}         16 {c |}{res}         40        0.01       99.86
{txt}         17 {c |}{res}         37        0.01       99.86
{txt}         18 {c |}{res}         36        0.01       99.87
{txt}         19 {c |}{res}         34        0.01       99.88
{txt}         20 {c |}{res}         28        0.00       99.88
{txt}         21 {c |}{res}         31        0.01       99.89
{txt}         22 {c |}{res}         23        0.00       99.89
{txt}         23 {c |}{res}         11        0.00       99.89
{txt}         24 {c |}{res}         11        0.00       99.89
{txt}         25 {c |}{res}         18        0.00       99.90
{txt}         26 {c |}{res}         19        0.00       99.90
{txt}         27 {c |}{res}         21        0.00       99.90
{txt}         28 {c |}{res}         18        0.00       99.91
{txt}         29 {c |}{res}         17        0.00       99.91
{txt}         30 {c |}{res}         13        0.00       99.91
{txt}         31 {c |}{res}         16        0.00       99.91
{txt}         32 {c |}{res}         14        0.00       99.92
{txt}         33 {c |}{res}         16        0.00       99.92
{txt}         34 {c |}{res}         14        0.00       99.92
{txt}         35 {c |}{res}         19        0.00       99.92
{txt}         36 {c |}{res}         18        0.00       99.93
{txt}         37 {c |}{res}         14        0.00       99.93
{txt}         38 {c |}{res}          7        0.00       99.93
{txt}         39 {c |}{res}          9        0.00       99.93
{txt}         40 {c |}{res}          9        0.00       99.93
{txt}         41 {c |}{res}         12        0.00       99.93
{txt}         42 {c |}{res}         14        0.00       99.94
{txt}         43 {c |}{res}         10        0.00       99.94
{txt}         44 {c |}{res}          8        0.00       99.94
{txt}         45 {c |}{res}          5        0.00       99.94
{txt}         46 {c |}{res}          7        0.00       99.94
{txt}         47 {c |}{res}          7        0.00       99.94
{txt}         48 {c |}{res}          8        0.00       99.94
{txt}         49 {c |}{res}         12        0.00       99.95
{txt}         50 {c |}{res}          3        0.00       99.95
{txt}         51 {c |}{res}          7        0.00       99.95
{txt}         52 {c |}{res}          5        0.00       99.95
{txt}         53 {c |}{res}         10        0.00       99.95
{txt}         54 {c |}{res}          5        0.00       99.95
{txt}         55 {c |}{res}          8        0.00       99.95
{txt}         56 {c |}{res}          4        0.00       99.95
{txt}         57 {c |}{res}          7        0.00       99.95
{txt}         58 {c |}{res}          5        0.00       99.95
{txt}         59 {c |}{res}          3        0.00       99.96
{txt}         60 {c |}{res}          2        0.00       99.96
{txt}         61 {c |}{res}          3        0.00       99.96
{txt}         62 {c |}{res}          6        0.00       99.96
{txt}         63 {c |}{res}          8        0.00       99.96
{txt}         64 {c |}{res}          6        0.00       99.96
{txt}         65 {c |}{res}          4        0.00       99.96
{txt}         66 {c |}{res}          7        0.00       99.96
{txt}         67 {c |}{res}          2        0.00       99.96
{txt}         68 {c |}{res}          2        0.00       99.96
{txt}         69 {c |}{res}          5        0.00       99.96
{txt}         70 {c |}{res}          3        0.00       99.96
{txt}         71 {c |}{res}         10        0.00       99.96
{txt}         72 {c |}{res}          5        0.00       99.97
{txt}         73 {c |}{res}          3        0.00       99.97
{txt}         74 {c |}{res}         11        0.00       99.97
{txt}         75 {c |}{res}          3        0.00       99.97
{txt}         76 {c |}{res}          5        0.00       99.97
{txt}         77 {c |}{res}          4        0.00       99.97
{txt}         78 {c |}{res}          2        0.00       99.97
{txt}         80 {c |}{res}          4        0.00       99.97
{txt}         81 {c |}{res}          3        0.00       99.97
{txt}         82 {c |}{res}          6        0.00       99.97
{txt}         83 {c |}{res}          4        0.00       99.97
{txt}         84 {c |}{res}          1        0.00       99.97
{txt}         85 {c |}{res}          5        0.00       99.97
{txt}         86 {c |}{res}          4        0.00       99.97
{txt}         87 {c |}{res}          3        0.00       99.97
{txt}         88 {c |}{res}          3        0.00       99.98
{txt}         89 {c |}{res}          4        0.00       99.98
{txt}         90 {c |}{res}          1        0.00       99.98
{txt}         91 {c |}{res}          2        0.00       99.98
{txt}         92 {c |}{res}          3        0.00       99.98
{txt}         94 {c |}{res}          5        0.00       99.98
{txt}         95 {c |}{res}          1        0.00       99.98
{txt}         96 {c |}{res}          1        0.00       99.98
{txt}         97 {c |}{res}          1        0.00       99.98
{txt}         98 {c |}{res}          5        0.00       99.98
{txt}         99 {c |}{res}          2        0.00       99.98
{txt}        100 {c |}{res}          2        0.00       99.98
{txt}        101 {c |}{res}          1        0.00       99.98
{txt}        102 {c |}{res}          4        0.00       99.98
{txt}        104 {c |}{res}          2        0.00       99.98
{txt}        105 {c |}{res}          2        0.00       99.98
{txt}        107 {c |}{res}          3        0.00       99.98
{txt}        110 {c |}{res}          1        0.00       99.98
{txt}        111 {c |}{res}          2        0.00       99.98
{txt}        112 {c |}{res}          1        0.00       99.98
{txt}        113 {c |}{res}          2        0.00       99.98
{txt}        114 {c |}{res}          1        0.00       99.98
{txt}        117 {c |}{res}          1        0.00       99.98
{txt}        118 {c |}{res}          1        0.00       99.98
{txt}        119 {c |}{res}          1        0.00       99.98
{txt}        120 {c |}{res}          2        0.00       99.98
{txt}        121 {c |}{res}          2        0.00       99.98
{txt}        122 {c |}{res}          2        0.00       99.98
{txt}        123 {c |}{res}          2        0.00       99.98
{txt}        124 {c |}{res}          1        0.00       99.98
{txt}        125 {c |}{res}          1        0.00       99.98
{txt}        126 {c |}{res}          2        0.00       99.99
{txt}        128 {c |}{res}          2        0.00       99.99
{txt}        129 {c |}{res}          2        0.00       99.99
{txt}        131 {c |}{res}          1        0.00       99.99
{txt}        132 {c |}{res}          1        0.00       99.99
{txt}        133 {c |}{res}          3        0.00       99.99
{txt}        134 {c |}{res}          1        0.00       99.99
{txt}        138 {c |}{res}          1        0.00       99.99
{txt}        141 {c |}{res}          1        0.00       99.99
{txt}        142 {c |}{res}          2        0.00       99.99
{txt}        144 {c |}{res}          1        0.00       99.99
{txt}        145 {c |}{res}          2        0.00       99.99
{txt}        146 {c |}{res}          1        0.00       99.99
{txt}        150 {c |}{res}          1        0.00       99.99
{txt}        151 {c |}{res}          2        0.00       99.99
{txt}        153 {c |}{res}          2        0.00       99.99
{txt}        154 {c |}{res}          1        0.00       99.99
{txt}        157 {c |}{res}          1        0.00       99.99
{txt}        161 {c |}{res}          2        0.00       99.99
{txt}        162 {c |}{res}          1        0.00       99.99
{txt}        163 {c |}{res}          1        0.00       99.99
{txt}        164 {c |}{res}          1        0.00       99.99
{txt}        165 {c |}{res}          4        0.00       99.99
{txt}        166 {c |}{res}          1        0.00       99.99
{txt}        171 {c |}{res}          1        0.00       99.99
{txt}        174 {c |}{res}          1        0.00       99.99
{txt}        176 {c |}{res}          1        0.00       99.99
{txt}        178 {c |}{res}          1        0.00       99.99
{txt}        179 {c |}{res}          1        0.00       99.99
{txt}        180 {c |}{res}          1        0.00       99.99
{txt}        181 {c |}{res}          1        0.00       99.99
{txt}        183 {c |}{res}          2        0.00       99.99
{txt}        184 {c |}{res}          1        0.00       99.99
{txt}        192 {c |}{res}          1        0.00       99.99
{txt}        193 {c |}{res}          1        0.00       99.99
{txt}        200 {c |}{res}          2        0.00       99.99
{txt}        201 {c |}{res}          1        0.00       99.99
{txt}        202 {c |}{res}          1        0.00       99.99
{txt}        211 {c |}{res}          1        0.00       99.99
{txt}        212 {c |}{res}          1        0.00       99.99
{txt}        215 {c |}{res}          1        0.00       99.99
{txt}        225 {c |}{res}          1        0.00       99.99
{txt}        229 {c |}{res}          1        0.00       99.99
{txt}        231 {c |}{res}          1        0.00       99.99
{txt}        233 {c |}{res}          1        0.00       99.99
{txt}        237 {c |}{res}          1        0.00       99.99
{txt}        239 {c |}{res}          1        0.00       99.99
{txt}        240 {c |}{res}          1        0.00      100.00
{txt}        241 {c |}{res}          1        0.00      100.00
{txt}        243 {c |}{res}          1        0.00      100.00
{txt}        244 {c |}{res}          1        0.00      100.00
{txt}        252 {c |}{res}          1        0.00      100.00
{txt}        269 {c |}{res}          1        0.00      100.00
{txt}        270 {c |}{res}          1        0.00      100.00
{txt}        271 {c |}{res}          1        0.00      100.00
{txt}        272 {c |}{res}          1        0.00      100.00
{txt}        276 {c |}{res}          1        0.00      100.00
{txt}        282 {c |}{res}          1        0.00      100.00
{txt}        298 {c |}{res}          1        0.00      100.00
{txt}        304 {c |}{res}          1        0.00      100.00
{txt}        305 {c |}{res}          1        0.00      100.00
{txt}        311 {c |}{res}          1        0.00      100.00
{txt}        325 {c |}{res}          1        0.00      100.00
{txt}        349 {c |}{res}          1        0.00      100.00
{txt}        359 {c |}{res}          1        0.00      100.00
{txt}        365 {c |}{res}          1        0.00      100.00
{txt}        366 {c |}{res}          1        0.00      100.00
{txt}        385 {c |}{res}          1        0.00      100.00
{txt}        394 {c |}{res}          2        0.00      100.00
{txt}        403 {c |}{res}          1        0.00      100.00
{txt}        404 {c |}{res}          1        0.00      100.00
{txt}        406 {c |}{res}          1        0.00      100.00
{txt}        444 {c |}{res}          1        0.00      100.00
{txt}        682 {c |}{res}          1        0.00      100.00
{txt}        911 {c |}{res}          1        0.00      100.00
{txt}       1062 {c |}{res}          1        0.00      100.00
{txt}       1237 {c |}{res}          1        0.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}    615,348      100.00
{txt}
{com}. save Data/tmp_NumWorkplaces, replace
{txt}{p 0 4 2}
file {bf}
Data/tmp_NumWorkplaces.dta{rm}
saved
{p_end}

{com}. 
. * Then save other variables
. use Data/data_ind_X_2017, clear
{txt}
{com}. keep if WP_P0846_lopnr_PeOrgNr != .
{txt}(2,431,151 observations deleted)

{com}. merge 1:1 PersonId using Data/data_voting_2018
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}       2,599,418
{txt}{col 9}from master{col 30}{res}         459,166{txt}  (_merge==1)
{col 9}from using{col 30}{res}       2,140,252{txt}  (_merge==2)

{col 5}Matched{col 30}{res}       5,340,429{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop if _merge == 2
{txt}(2,140,252 observations deleted)

{com}. drop _merge
{txt}
{com}. rename WP_P0846_lopnr_PeOrgNr P0846_lopnr_PeOrgNr
{res}{txt}
{com}. keep P0846_lopnr_PeOrgNr Income Female Age2017 NumberOfChildren EduCollege Married Age2018 Voted2018 Ftg_Antal_anstallda Ftg_Nettoomsattning WorkplaceId
{txt}
{com}. collapse (mean)Income (mean)Female (mean)NumberOfChildren (mean)EduCollege (mean)Married (mean)Age2018 (mean)Voted2018 (mean)Ftg_Antal_anstallda (mean)Ftg_Nettoomsattning (count)NumberEmployed = Female, by(P0846_lopnr_PeOrgNr)
{res}{txt}
{com}. 
. save Data/tmp_firm_variables_population, replace
{txt}{p 0 4 2}
file {bf}
Data/tmp_firm_variables_population.dta{rm}
saved
{p_end}

{com}. 
. * 4. Merge 1 and 2, add variables from 3 and present firm descriptives
. 
. * Note: those in sample are also included in the populations, so 
. * are dubplicates in the merged data
. use Data/tmp_firms_in_sample, clear
{txt}
{com}. append using Data/tmp_firms_in_population
{txt}
{com}. replace firm_in_sample = 0 if firm_in_sample == .
{txt}(146,739 real changes made)

{com}.  
. 
. * Add firm characteristics 
. merge m:1 P0846_lopnr_PeOrgNr using Data/tmp_firm_variables_population
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}         503,145
{txt}{col 9}from master{col 30}{res}              45{txt}  (_merge==1)
{col 9}from using{col 30}{res}         503,100{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         221,564{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge == 3
{txt}(503,145 observations deleted)

{com}. drop _merge
{txt}
{com}.  
. merge m:1 P0846_lopnr_PeOrgNr using Data/tmp_SNI_section
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}         503,100
{txt}{col 9}from master{col 30}{res}               0{txt}  (_merge==1)
{col 9}from using{col 30}{res}         503,100{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         221,564{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge == 3
{txt}(503,100 observations deleted)

{com}. drop _merge
{txt}
{com}. merge m:1 P0846_lopnr_PeOrgNr using Data/tmp_NumWorkplaces
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}         455,661
{txt}{col 9}from master{col 30}{res}              64{txt}  (_merge==1)
{col 9}from using{col 30}{res}         455,597{txt}  (_merge==2)

{col 5}Matched{col 30}{res}         221,500{txt}  (_merge==3)
{col 5}{hline 41}

{com}. keep if _merge == 3
{txt}(455,661 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. foreach firm_X in Income Female NumberOfChildren EduCollege Married Age2018 Voted2018 Ftg_Antal_anstallda Ftg_Nettoomsattning  NumberEmployed  NumWorkplaces {c -(}
{txt}  2{com}.         bys firm_in_sample: sum `firm_X', det
{txt}  3{com}. {c )-}

{txt}{hline}
-> firm_in_sample = 0

                        (mean) Income
{hline 61}
      Percentiles      Smallest
 1%    {res}      506              0
{txt} 5%    {res}     1079              0
{txt}10%    {res} 1424.701              0       {txt}Obs         {res}    146,630
{txt}25%    {res}  2038.75              0       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res} 2821.667                      {txt}Mean          {res}  2868.95
                        {txt}Largest       Std. dev.     {res} 1190.629
{txt}75%    {res} 3601.333          25184
{txt}90%    {res} 4339.873          30019       {txt}Variance      {res}  1417598
{txt}95%    {res}     4800        30443.5       {txt}Skewness      {res}  1.16086
{txt}99%    {res} 5901.667          40000       {txt}Kurtosis      {res}  18.1973

{txt}{hline}
-> firm_in_sample = 1

                        (mean) Income
{hline 61}
      Percentiles      Smallest
 1%    {res}      994       166.5533
{txt} 5%    {res} 1505.385       192.8806
{txt}10%    {res} 1821.477       204.3484       {txt}Obs         {res}     74,870
{txt}25%    {res} 2406.333        234.086       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res} 3153.509                      {txt}Mean          {res} 3353.788
                        {txt}Largest       Std. dev.     {res}  1790.73
{txt}75%    {res}  3894.96          47377
{txt}90%    {res} 4860.875          61605       {txt}Variance      {res}  3206713
{txt}95%    {res}   5750.5        68513.5       {txt}Skewness      {res}  7.91132
{txt}99%    {res}     8999       86668.13       {txt}Kurtosis      {res} 179.5727


{txt}{hline}
-> firm_in_sample = 0

                        (mean) Female
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    146,630
{txt}25%    {res}        0              0       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res}      .25                      {txt}Mean          {res} .3315484
                        {txt}Largest       Std. dev.     {res} .3210046
{txt}75%    {res}       .5              1
{txt}90%    {res} .8333333              1       {txt}Variance      {res}  .103044
{txt}95%    {res}        1              1       {txt}Skewness      {res} .6602358
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  2.27227

{txt}{hline}
-> firm_in_sample = 1

                        (mean) Female
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}     74,870
{txt}25%    {res} .0588235              0       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res} .2333333                      {txt}Mean          {res} .3316564
                        {txt}Largest       Std. dev.     {res} .3128229
{txt}75%    {res} .5714286              1
{txt}90%    {res} .8235294              1       {txt}Variance      {res} .0978581
{txt}95%    {res}        1              1       {txt}Skewness      {res} .6923096
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 2.247212


{txt}{hline}
-> firm_in_sample = 0

                   (mean) NumberOfChildren
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    146,630
{txt}25%    {res} .5714286              0       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res}        1                      {txt}Mean          {res} .9861079
                        {txt}Largest       Std. dev.     {res} .6499968
{txt}75%    {res} 1.333333              8
{txt}90%    {res} 1.857143              8       {txt}Variance      {res} .4224958
{txt}95%    {res}        2              9       {txt}Skewness      {res} 1.017137
{txt}99%    {res}        3       9.333333       {txt}Kurtosis      {res} 6.222977

{txt}{hline}
-> firm_in_sample = 1

                   (mean) NumberOfChildren
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res} .2857143              0
{txt}10%    {res} .4615385              0       {txt}Obs         {res}     74,870
{txt}25%    {res}       .7              0       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res}        1                      {txt}Mean          {res} .9773216
                        {txt}Largest       Std. dev.     {res} .4401948
{txt}75%    {res} 1.214286            4.5
{txt}90%    {res}      1.5           4.75       {txt}Variance      {res} .1937715
{txt}95%    {res} 1.714286              5       {txt}Skewness      {res} .6213009
{txt}99%    {res}     2.25       6.571429       {txt}Kurtosis      {res} 5.267994


{txt}{hline}
-> firm_in_sample = 0

                      (mean) EduCollege
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    146,630
{txt}25%    {res}        0              0       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res} .1666667                      {txt}Mean          {res} .2786772
                        {txt}Largest       Std. dev.     {res}  .314756
{txt}75%    {res}       .5              1
{txt}90%    {res}  .800641              1       {txt}Variance      {res} .0990713
{txt}95%    {res}        1              1       {txt}Skewness      {res} 1.039207
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  2.96446

{txt}{hline}
-> firm_in_sample = 1

                      (mean) EduCollege
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}     74,870
{txt}25%    {res}        0              0       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res} .1764706                      {txt}Mean          {res} .2854424
                        {txt}Largest       Std. dev.     {res} .3024589
{txt}75%    {res} .4615385              1
{txt}90%    {res}       .8              1       {txt}Variance      {res} .0914814
{txt}95%    {res}     .925              1       {txt}Skewness      {res} .9831329
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 2.779643


{txt}{hline}
-> firm_in_sample = 0

                       (mean) Married
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res}        0              0       {txt}Obs         {res}    146,630
{txt}25%    {res}       .2              0       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res} .3846154                      {txt}Mean          {res}  .413401
                        {txt}Largest       Std. dev.     {res} .2966446
{txt}75%    {res} .5714286              1
{txt}90%    {res}        1              1       {txt}Variance      {res}  .087998
{txt}95%    {res}        1              1       {txt}Skewness      {res} .4846243
{txt}99%    {res}        1              1       {txt}Kurtosis      {res}  2.51451

{txt}{hline}
-> firm_in_sample = 1

                       (mean) Married
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}        0              0
{txt}10%    {res} .0909091              0       {txt}Obs         {res}     74,870
{txt}25%    {res} .2222222              0       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res} .3636364                      {txt}Mean          {res} .3672492
                        {txt}Largest       Std. dev.     {res} .2111783
{txt}75%    {res}       .5              1
{txt}90%    {res} .6315789              1       {txt}Variance      {res} .0445963
{txt}95%    {res} .7222222              1       {txt}Skewness      {res}  .387091
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 3.286917


{txt}{hline}
-> firm_in_sample = 0

                       (mean) Age2018
{hline 61}
      Percentiles      Smallest
 1%    {res}       24             17
{txt} 5%    {res} 28.47887             17
{txt}10%    {res} 31.21428       17.23809       {txt}Obs         {res}    146,630
{txt}25%    {res} 36.33333       17.33333       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res} 42.30769                      {txt}Mean          {res} 43.01947
                        {txt}Largest       Std. dev.     {res} 9.546021
{txt}75%    {res} 48.94776           78.5
{txt}90%    {res}       56           78.6       {txt}Variance      {res} 91.12653
{txt}95%    {res}     60.5             81       {txt}Skewness      {res} .4065512
{txt}99%    {res}    67.75           81.5       {txt}Kurtosis      {res} 3.040765

{txt}{hline}
-> firm_in_sample = 1

                       (mean) Age2018
{hline 61}
      Percentiles      Smallest
 1%    {res} 24.83288       19.29412
{txt} 5%    {res} 28.88571       19.33333
{txt}10%    {res}     31.5       19.47368       {txt}Obs         {res}     74,870
{txt}25%    {res}   36.375       19.61321       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res} 41.74666                      {txt}Mean          {res} 41.67375
                        {txt}Largest       Std. dev.     {res} 7.730355
{txt}75%    {res}    46.75       73.06837
{txt}90%    {res}     51.5       74.08403       {txt}Variance      {res}  59.7584
{txt}95%    {res} 54.63095       74.37037       {txt}Skewness      {res} .1009909
{txt}99%    {res} 60.42857             75       {txt}Kurtosis      {res} 2.894527


{txt}{hline}
-> firm_in_sample = 0

                      (mean) Voted2018
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res}       .5              0
{txt}10%    {res} .6666667              0       {txt}Obs         {res}    144,679
{txt}25%    {res} .8421053              0       {txt}Sum of wgt. {res}    144,679

{txt}50%    {res}        1                      {txt}Mean          {res} .8887592
                        {txt}Largest       Std. dev.     {res} .1948264
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .0379573
{txt}95%    {res}        1              1       {txt}Skewness      {res} -2.55289
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 10.38638

{txt}{hline}
-> firm_in_sample = 1

                      (mean) Voted2018
{hline 61}
      Percentiles      Smallest
 1%    {res}       .5              0
{txt} 5%    {res} .6666667              0
{txt}10%    {res}      .75              0       {txt}Obs         {res}     74,870
{txt}25%    {res} .8636364              0       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res} .9516129                      {txt}Mean          {res} .9129613
                        {txt}Largest       Std. dev.     {res}  .116627
{txt}75%    {res}        1              1
{txt}90%    {res}        1              1       {txt}Variance      {res} .0136018
{txt}95%    {res}        1              1       {txt}Skewness      {res}-2.123111
{txt}99%    {res}        1              1       {txt}Kurtosis      {res} 9.950574


{txt}{hline}
-> firm_in_sample = 0

                 (mean) Ftg_Antal_anstallda
{hline 61}
      Percentiles      Smallest
 1%    {res}        2              2
{txt} 5%    {res}        2              2
{txt}10%    {res}        2              2       {txt}Obs         {res}    146,630
{txt}25%    {res}        2              2       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res}        4                      {txt}Mean          {res}  15.9451
                        {txt}Largest       Std. dev.     {res} 136.3735
{txt}75%    {res}        9           9056
{txt}90%    {res}       22          12729       {txt}Variance      {res} 18597.72
{txt}95%    {res}       41          19459       {txt}Skewness      {res} 69.12252
{txt}99%    {res}      169          20724       {txt}Kurtosis      {res} 7824.369

{txt}{hline}
-> firm_in_sample = 1

                 (mean) Ftg_Antal_anstallda
{hline 61}
      Percentiles      Smallest
 1%    {res}        2              0
{txt} 5%    {res}        2              0
{txt}10%    {res}        3              0       {txt}Obs         {res}     74,847
{txt}25%    {res}        5              0       {txt}Sum of wgt. {res}     74,847

{txt}50%    {res}        8                      {txt}Mean          {res} 29.95627
                        {txt}Largest       Std. dev.     {res}   208.85
{txt}75%    {res}       18          12729
{txt}90%    {res}       43          15505       {txt}Variance      {res} 43618.31
{txt}95%    {res}       79          19459       {txt}Skewness      {res}  45.9937
{txt}99%    {res}      345          20724       {txt}Kurtosis      {res} 3285.466


{txt}{hline}
-> firm_in_sample = 0

                 (mean) Ftg_Nettoomsattning
{hline 61}
      Percentiles      Smallest
 1%    {res}      519              1
{txt} 5%    {res}     1122              1
{txt}10%    {res}     1522              1       {txt}Obs         {res}    146,630
{txt}25%    {res}     2647              1       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res}     5641                      {txt}Mean          {res}  42014.9
                        {txt}Largest       Std. dev.     {res} 603371.5
{txt}75%    {res}    14758       5.73e+07
{txt}90%    {res}    44101       6.72e+07       {txt}Variance      {res} 3.64e+11
{txt}95%    {res}    95460       7.18e+07       {txt}Skewness      {res} 100.8173
{txt}99%    {res}   518029       1.24e+08       {txt}Kurtosis      {res} 15838.39

{txt}{hline}
-> firm_in_sample = 1

                 (mean) Ftg_Nettoomsattning
{hline 61}
      Percentiles      Smallest
 1%    {res}      741           -170
{txt} 5%    {res}     2197             -9
{txt}10%    {res}     3272              0       {txt}Obs         {res}     74,847
{txt}25%    {res}     6690              0       {txt}Sum of wgt. {res}     74,847

{txt}50%    {res}    16760                      {txt}Mean          {res} 92710.79
                        {txt}Largest       Std. dev.     {res} 965690.4
{txt}75%    {res}    33467       6.72e+07
{txt}90%    {res}   105135       7.18e+07       {txt}Variance      {res} 9.33e+11
{txt}95%    {res}   232783       7.19e+07       {txt}Skewness      {res} 58.41277
{txt}99%    {res}  1206864       1.24e+08       {txt}Kurtosis      {res} 5311.223


{txt}{hline}
-> firm_in_sample = 0

                       (count) Female
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        2              1
{txt}10%    {res}        2              1       {txt}Obs         {res}    146,630
{txt}25%    {res}        3              1       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res}        5                      {txt}Mean          {res} 19.46578
                        {txt}Largest       Std. dev.     {res} 164.0065
{txt}75%    {res}       12           9753
{txt}90%    {res}       27          14436       {txt}Variance      {res} 26898.13
{txt}95%    {res}       50          23897       {txt}Skewness      {res} 69.60935
{txt}99%    {res}      208          25530       {txt}Kurtosis      {res} 8177.651

{txt}{hline}
-> firm_in_sample = 1

                       (count) Female
{hline 61}
      Percentiles      Smallest
 1%    {res}        2              1
{txt} 5%    {res}        3              1
{txt}10%    {res}        4              2       {txt}Obs         {res}     74,870
{txt}25%    {res}        6              2       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res}       12                      {txt}Mean          {res} 62.44754
                        {txt}Largest       Std. dev.     {res} 626.9073
{txt}75%    {res}       26          38485
{txt}90%    {res}       64          55680       {txt}Variance      {res} 393012.8
{txt}95%    {res}      126          57067       {txt}Skewness      {res}  48.9088
{txt}99%    {res}      792          59222       {txt}Kurtosis      {res} 3548.146


{txt}{hline}
-> firm_in_sample = 0

                     (count) WorkplaceId
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}    146,630
{txt}25%    {res}        1              1       {txt}Sum of wgt. {res}    146,630

{txt}50%    {res}        1                      {txt}Mean          {res} 1.261208
                        {txt}Largest       Std. dev.     {res} 4.685036
{txt}75%    {res}        1            366
{txt}90%    {res}        1            385       {txt}Variance      {res} 21.94956
{txt}95%    {res}        1            444       {txt}Skewness      {res} 78.95021
{txt}99%    {res}        5            911       {txt}Kurtosis      {res} 11415.67

{txt}{hline}
-> firm_in_sample = 1

                     (count) WorkplaceId
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}     74,870
{txt}25%    {res}        1              1       {txt}Sum of wgt. {res}     74,870

{txt}50%    {res}        1                      {txt}Mean          {res} 2.004995
                        {txt}Largest       Std. dev.     {res} 11.87684
{txt}75%    {res}        1            682
{txt}90%    {res}        1            911       {txt}Variance      {res} 141.0594
{txt}95%    {res}        3           1062       {txt}Skewness      {res} 44.39201
{txt}99%    {res}       20           1237       {txt}Kurtosis      {res} 3289.433

{txt}
{com}. 
. bys firm_in_sample: tab SNI_Section

{txt}{hline}
-> firm_in_sample = 0

                            SNI_Section {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
Accommodation and food service activi.. {c |}{res}     11,980        8.17        8.17
{txt}Administrative and support service ac.. {c |}{res}      7,616        5.19       13.36
{txt}      Agriculture, forestry and fishing {c |}{res}      5,023        3.43       16.79
{txt}     Arts, entertainment and recreation {c |}{res}      2,190        1.49       18.28
{txt}                           Construction {c |}{res}     24,974       17.03       35.32
{txt}                              Education {c |}{res}      3,514        2.40       37.71
{txt}Electricity,  gas, steam and air cond.. {c |}{res}        290        0.20       37.91
{txt}     Financial and insurance activities {c |}{res}         90        0.06       37.97
{txt}Human health and social work activities {c |}{res}      5,767        3.93       41.90
{txt}          Information and communication {c |}{res}      6,987        4.77       46.67
{txt}                          Manufacturing {c |}{res}     14,366        9.80       56.47
{txt}                   Mining and quarrying {c |}{res}        159        0.11       56.58
{txt}               Other service activities {c |}{res}      3,641        2.48       59.06
{txt}Professional, scientific and technica.. {c |}{res}     17,382       11.85       70.91
{txt}Public administration and defence; co.. {c |}{res}          6        0.00       70.92
{txt}                 Real estate activities {c |}{res}      4,032        2.75       73.67
{txt}             Transportation and storage {c |}{res}      8,810        6.01       79.67
{txt}Water supply; sewerage, waste managem.. {c |}{res}        483        0.33       80.00
{txt}Wholesale and retail trade; repair of.. {c |}{res}     29,320       20.00      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}    146,630      100.00

{txt}{hline}
-> firm_in_sample = 1

                            SNI_Section {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
Accommodation and food service activi.. {c |}{res}      3,343        4.47        4.47
{txt}Administrative and support service ac.. {c |}{res}      3,268        4.37        8.83
{txt}      Agriculture, forestry and fishing {c |}{res}      1,478        1.97       10.81
{txt}     Arts, entertainment and recreation {c |}{res}      1,697        2.27       13.07
{txt}                           Construction {c |}{res}     13,120       17.53       30.60
{txt}                              Education {c |}{res}      2,676        3.58       34.18
{txt}Electricity,  gas, steam and air cond.. {c |}{res}        228        0.30       34.48
{txt}     Financial and insurance activities {c |}{res}      1,021        1.36       35.85
{txt}Human health and social work activities {c |}{res}      2,931        3.92       39.76
{txt}          Information and communication {c |}{res}      4,009        5.36       45.12
{txt}                          Manufacturing {c |}{res}      8,672       11.59       56.71
{txt}                   Mining and quarrying {c |}{res}         98        0.13       56.84
{txt}                                Missing {c |}{res}         46        0.06       56.90
{txt}               Other service activities {c |}{res}      2,945        3.93       60.83
{txt}Professional, scientific and technica.. {c |}{res}      7,580       10.13       70.96
{txt}Public administration and defence; co.. {c |}{res}        232        0.31       71.27
{txt}                 Real estate activities {c |}{res}      1,656        2.21       73.48
{txt}             Transportation and storage {c |}{res}      4,469        5.97       79.45
{txt}Water supply; sewerage, waste managem.. {c |}{res}        325        0.43       79.89
{txt}Wholesale and retail trade; repair of.. {c |}{res}     15,053       20.11      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}     74,847      100.00

{txt}
{com}. 
. 
. 
. *****************************************************************
. *********** TABLE A3 Worker characteristics and turnout *********
. *****************************************************************
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. g  Voted2010 = IndexWorkerVoted2010
{txt}
{com}. 
. foreach het_var of varlist Age2010 Income {c -(}
{txt}  2{com}. 
.  summarize `het_var', detail
{txt}  3{com}.  gen d`het_var' = (`het_var' > r(mean))
{txt}  4{com}.  gen Not_d`het_var' = !d`het_var'
{txt}  5{com}. {c )-}

                           {txt}Age2010
{hline 61}
      Percentiles      Smallest
 1%    {res}       13             10
{txt} 5%    {res}       16             10
{txt}10%    {res}       18             10       {txt}Obs         {res}  2,083,950
{txt}25%    {res}       24             10       {txt}Sum of wgt. {res}  2,083,950

{txt}50%    {res}       35                      {txt}Mean          {res} 34.81318
                        {txt}Largest       Std. dev.     {res} 12.18551
{txt}75%    {res}       45             57
{txt}90%    {res}       52             57       {txt}Variance      {res} 148.4867
{txt}95%    {res}       54             57       {txt}Skewness      {res}-.0130705
{txt}99%    {res}       57             57       {txt}Kurtosis      {res} 1.910513

                           {txt}Income
{hline 61}
      Percentiles      Smallest
 1%    {res}     1101           1000
{txt} 5%    {res}     1479           1000
{txt}10%    {res}     1909           1000       {txt}Obs         {res}  2,083,950
{txt}25%    {res}     2775           1000       {txt}Sum of wgt. {res}  2,083,950

{txt}50%    {res}     3591                      {txt}Mean          {res} 3937.402
                        {txt}Largest       Std. dev.     {res} 2560.167
{txt}75%    {res}     4558         274385
{txt}90%    {res}     5945         326059       {txt}Variance      {res}  6554455
{txt}95%    {res}     7230         347372       {txt}Skewness      {res} 29.13733
{txt}99%    {res}    11639         778213       {txt}Kurtosis      {res} 5002.321
{txt}
{com}. 
. 
. reg Voted2022 Voted2010  IndexWorkerVoted2010Miss ParentsVoted2010 Female EduCollege dAge2010 dIncome Married $insample, vce(hc3) 

{txt}Linear regression                               Number of obs     = {res} 1,585,336
                                                {txt}F(8, 1585327)     =  {res}  9687.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0967
                                                {txt}Root MSE          =    {res} .24014

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}  Robust HC3
{col 1}               Voted2022{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}Voted2010 {c |}{col 26}{res}{space 2} .2242591{col 38}{space 2} .0011906{col 49}{space 1}  188.35{col 58}{space 3}0.000{col 66}{space 4} .2219255{col 79}{space 3} .2265927
{txt}IndexWorkerVoted2010Miss {c |}{col 26}{res}{space 2} .1840961{col 38}{space 2} .0013623{col 49}{space 1}  135.13{col 58}{space 3}0.000{col 66}{space 4}  .181426{col 79}{space 3} .1867662
{txt}{space 8}ParentsVoted2010 {c |}{col 26}{res}{space 2} .0297142{col 38}{space 2} .0006387{col 49}{space 1}   46.52{col 58}{space 3}0.000{col 66}{space 4} .0284623{col 79}{space 3} .0309661
{txt}{space 18}Female {c |}{col 26}{res}{space 2}  .016489{col 38}{space 2} .0004088{col 49}{space 1}   40.34{col 58}{space 3}0.000{col 66}{space 4} .0156878{col 79}{space 3} .0172901
{txt}{space 14}EduCollege {c |}{col 26}{res}{space 2} .0339842{col 38}{space 2} .0003645{col 49}{space 1}   93.25{col 58}{space 3}0.000{col 66}{space 4} .0332699{col 79}{space 3} .0346985
{txt}{space 16}dAge2010 {c |}{col 26}{res}{space 2}   .00118{col 38}{space 2} .0004359{col 49}{space 1}    2.71{col 58}{space 3}0.007{col 66}{space 4} .0003257{col 79}{space 3} .0020343
{txt}{space 17}dIncome {c |}{col 26}{res}{space 2}  .025858{col 38}{space 2} .0003972{col 49}{space 1}   65.11{col 58}{space 3}0.000{col 66}{space 4} .0250796{col 79}{space 3} .0266365
{txt}{space 17}Married {c |}{col 26}{res}{space 2} .0261125{col 38}{space 2} .0003752{col 49}{space 1}   69.59{col 58}{space 3}0.000{col 66}{space 4} .0253771{col 79}{space 3}  .026848
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .6644672{col 38}{space 2} .0013428{col 49}{space 1}  494.85{col 58}{space 3}0.000{col 66}{space 4} .6618354{col 79}{space 3}  .667099
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *****************************************************************
. *********** TABLE A4 First stage by subgroups *********
. *****************************************************************
. 
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. reghdfe WP_Voted2018   WP_Relative_Voted2010  $main_controls $insample & Female==0, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}{txt}note: {res}WP_HPG_Edu_11_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_11_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_12_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_12_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_13_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_13_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_14_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_14_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_15_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_15_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_16_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_16_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_17_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_17_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_18_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_18_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_19_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_19_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_20_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_20_4{txt} omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   794,389
{txt}Absorbing 1 HDFE group{col 51}F({res}  53{txt},{res} 155964{txt}){col 67}= {res}    455.54
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1109
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1041
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0837
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   155,965{txt}{col 51}Root MSE{col 67}= {res}    0.1445

{txt}{ralign 91:(Std. err. adjusted for {res:155,965} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .1153854{col 39}{space 2} .0029347{col 50}{space 1}   39.32{col 59}{space 3}0.000{col 67}{space 4} .1096335{col 80}{space 3} .1211373
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0064049{col 39}{space 2} .0008554{col 50}{space 1}    7.49{col 59}{space 3}0.000{col 67}{space 4} .0047284{col 80}{space 3} .0080814
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0079626{col 39}{space 2} .0006773{col 50}{space 1}   11.76{col 59}{space 3}0.000{col 67}{space 4} .0066351{col 80}{space 3} .0092901
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0024516{col 39}{space 2} .0009498{col 50}{space 1}    2.58{col 59}{space 3}0.010{col 67}{space 4} .0005899{col 80}{space 3} .0043133
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .0857161{col 39}{space 2} .0797217{col 50}{space 1}    1.08{col 59}{space 3}0.282{col 67}{space 4}-.0705368{col 80}{space 3} .2419691
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .0761692{col 39}{space 2} .0797876{col 50}{space 1}    0.95{col 59}{space 3}0.340{col 67}{space 4}-.0802129{col 80}{space 3} .2325513
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .0691568{col 39}{space 2} .0796671{col 50}{space 1}    0.87{col 59}{space 3}0.385{col 67}{space 4}-.0869892{col 80}{space 3} .2253027
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0007406{col 39}{space 2} .0799875{col 50}{space 1}    0.01{col 59}{space 3}0.993{col 67}{space 4}-.1560331{col 80}{space 3} .1575144
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0022185{col 39}{space 2} .0797319{col 50}{space 1}   -0.03{col 59}{space 3}0.978{col 67}{space 4}-.1584913{col 80}{space 3} .1540544
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0280738{col 39}{space 2} .0813983{col 50}{space 1}   -0.34{col 59}{space 3}0.730{col 67}{space 4}-.1876128{col 80}{space 3} .1314652
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0102315{col 39}{space 2} .0797082{col 50}{space 1}    0.13{col 59}{space 3}0.898{col 67}{space 4}-.1459949{col 80}{space 3}  .166458
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0105088{col 39}{space 2} .0798209{col 50}{space 1}   -0.13{col 59}{space 3}0.895{col 67}{space 4}-.1669561{col 80}{space 3} .1459385
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0635183{col 39}{space 2} .0804458{col 50}{space 1}   -0.79{col 59}{space 3}0.430{col 67}{space 4}-.2211903{col 80}{space 3} .0941537
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .0915438{col 39}{space 2} .0798126{col 50}{space 1}    1.15{col 59}{space 3}0.251{col 67}{space 4}-.0648872{col 80}{space 3} .2479749
{txt}{space 22}22  {c |}{col 27}{res}{space 2}  .092754{col 39}{space 2} .0795962{col 50}{space 1}    1.17{col 59}{space 3}0.244{col 67}{space 4}-.0632529{col 80}{space 3}  .248761
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .0925463{col 39}{space 2} .0795922{col 50}{space 1}    1.16{col 59}{space 3}0.245{col 67}{space 4}-.0634528{col 80}{space 3} .2485454
{txt}{space 22}24  {c |}{col 27}{res}{space 2}  .088519{col 39}{space 2} .0795943{col 50}{space 1}    1.11{col 59}{space 3}0.266{col 67}{space 4}-.0674841{col 80}{space 3} .2445221
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .0773044{col 39}{space 2} .0796219{col 50}{space 1}    0.97{col 59}{space 3}0.332{col 67}{space 4} -.078753{col 80}{space 3} .2333617
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .0726236{col 39}{space 2} .0796141{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.0834184{col 80}{space 3} .2286656
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .0511644{col 39}{space 2} .0805632{col 50}{space 1}    0.64{col 59}{space 3}0.525{col 67}{space 4}-.1067378{col 80}{space 3} .2090666
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .0659592{col 39}{space 2} .0796563{col 50}{space 1}    0.83{col 59}{space 3}0.408{col 67}{space 4}-.0901656{col 80}{space 3} .2220839
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .0643371{col 39}{space 2} .0796337{col 50}{space 1}    0.81{col 59}{space 3}0.419{col 67}{space 4}-.0917433{col 80}{space 3} .2204175
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .0505213{col 39}{space 2} .0799678{col 50}{space 1}    0.63{col 59}{space 3}0.528{col 67}{space 4}-.1062139{col 80}{space 3} .2072564
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  .104317{col 39}{space 2} .0959617{col 50}{space 1}    1.09{col 59}{space 3}0.277{col 67}{space 4} -.083766{col 80}{space 3}    .2924
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} .8735063{col 39}{space 2} .8475673{col 50}{space 1}    1.03{col 59}{space 3}0.303{col 67}{space 4}-.7877079{col 80}{space 3} 2.534721
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0029573{col 39}{space 2} .0059233{col 50}{space 1}    0.50{col 59}{space 3}0.618{col 67}{space 4}-.0086521{col 80}{space 3} .0145668
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0312332{col 39}{space 2} .0242565{col 50}{space 1}    1.29{col 59}{space 3}0.198{col 67}{space 4} -.016309{col 80}{space 3} .0787755
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0051733{col 39}{space 2} .0072483{col 50}{space 1}    0.71{col 59}{space 3}0.475{col 67}{space 4}-.0090331{col 80}{space 3} .0193798
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0772707{col 39}{space 2} .0282357{col 50}{space 1}    2.74{col 59}{space 3}0.006{col 67}{space 4} .0219293{col 80}{space 3} .1326122
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0036594{col 39}{space 2}  .004752{col 50}{space 1}    0.77{col 59}{space 3}0.441{col 67}{space 4}-.0056544{col 80}{space 3} .0129731
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}  .033845{col 39}{space 2} .0248348{col 50}{space 1}    1.36{col 59}{space 3}0.173{col 67}{space 4}-.0148308{col 80}{space 3} .0825207
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0347409{col 39}{space 2} .0105806{col 50}{space 1}    3.28{col 59}{space 3}0.001{col 67}{space 4} .0140031{col 80}{space 3} .0554787
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0238577{col 39}{space 2} .0601666{col 50}{space 1}   -0.40{col 59}{space 3}0.692{col 67}{space 4} -.141783{col 80}{space 3} .0940676
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}  .042004{col 39}{space 2} .0064232{col 50}{space 1}    6.54{col 59}{space 3}0.000{col 67}{space 4} .0294147{col 80}{space 3} .0545934
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0341141{col 39}{space 2} .0311823{col 50}{space 1}    1.09{col 59}{space 3}0.274{col 67}{space 4}-.0270026{col 80}{space 3} .0952308
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0436715{col 39}{space 2} .0224238{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0002787{col 80}{space 3} .0876216
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0154132{col 39}{space 2} .1228143{col 50}{space 1}    0.13{col 59}{space 3}0.900{col 67}{space 4}-.2253003{col 80}{space 3} .2561268
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0286903{col 39}{space 2}  .006123{col 50}{space 1}    4.69{col 59}{space 3}0.000{col 67}{space 4} .0166892{col 80}{space 3} .0406913
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0697679{col 39}{space 2} .0373511{col 50}{space 1}   -1.87{col 59}{space 3}0.062{col 67}{space 4}-.1429753{col 80}{space 3} .0034395
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0354894{col 39}{space 2} .0085297{col 50}{space 1}    4.16{col 59}{space 3}0.000{col 67}{space 4} .0187714{col 80}{space 3} .0522075
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0132337{col 39}{space 2} .0445895{col 50}{space 1}    0.30{col 59}{space 3}0.767{col 67}{space 4}-.0741608{col 80}{space 3} .1006281
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0523738{col 39}{space 2} .0155944{col 50}{space 1}    3.36{col 59}{space 3}0.001{col 67}{space 4} .0218091{col 80}{space 3} .0829385
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1606937{col 39}{space 2} .0876327{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4}-.3324519{col 80}{space 3} .0110646
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0006389{col 39}{space 2} .0000613{col 50}{space 1}   10.42{col 59}{space 3}0.000{col 67}{space 4} .0005186{col 80}{space 3} .0007591
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.09e-06{col 39}{space 2} 2.59e-07{col 50}{space 1}    4.19{col 59}{space 3}0.000{col 67}{space 4} 5.78e-07{col 80}{space 3} 1.59e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0130639{col 39}{space 2} .0018838{col 50}{space 1}    6.93{col 59}{space 3}0.000{col 67}{space 4} .0093716{col 80}{space 3} .0167561
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0051805{col 39}{space 2} .0007538{col 50}{space 1}   -6.87{col 59}{space 3}0.000{col 67}{space 4}-.0066579{col 80}{space 3}-.0037031
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0015664{col 39}{space 2} .0023132{col 50}{space 1}   -0.68{col 59}{space 3}0.498{col 67}{space 4}-.0061003{col 80}{space 3} .0029675
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}  .000241{col 39}{space 2} .0000203{col 50}{space 1}   11.89{col 59}{space 3}0.000{col 67}{space 4} .0002013{col 80}{space 3} .0002808
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 8.93e-07{col 39}{space 2} 1.22e-07{col 50}{space 1}    7.32{col 59}{space 3}0.000{col 67}{space 4} 6.54e-07{col 80}{space 3} 1.13e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0030663{col 39}{space 2} .0003991{col 50}{space 1}    7.68{col 59}{space 3}0.000{col 67}{space 4} .0022841{col 80}{space 3} .0038486
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0002546{col 39}{space 2} .0001782{col 50}{space 1}    1.43{col 59}{space 3}0.153{col 67}{space 4}-.0000947{col 80}{space 3} .0006038
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0178384{col 39}{space 2} .0012128{col 50}{space 1}   14.71{col 59}{space 3}0.000{col 67}{space 4} .0154614{col 80}{space 3} .0202155
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7160286{col 39}{space 2} .0796653{col 50}{space 1}    8.99{col 59}{space 3}0.000{col 67}{space 4} .5598862{col 80}{space 3}  .872171
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. reghdfe WP_Voted2018   WP_Relative_Voted2010  $main_controls $insample & Female==1, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}{txt}note: {res}WP_HPG_Edu_1_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_1_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_2_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_2_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_3_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_3_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_4_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_4_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_5_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_5_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_6_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_6_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_7_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_7_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_8_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_8_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_9_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_9_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_10_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_10_4{txt} omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   790,947
{txt}Absorbing 1 HDFE group{col 51}F({res}  53{txt},{res} 142674{txt}){col 67}= {res}    317.35
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1059
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0990
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0837
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   142,675{txt}{col 51}Root MSE{col 67}= {res}    0.1098

{txt}{ralign 91:(Std. err. adjusted for {res:142,675} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0971351{col 39}{space 2}  .002893{col 50}{space 1}   33.58{col 59}{space 3}0.000{col 67}{space 4} .0914648{col 80}{space 3} .1028053
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0029518{col 39}{space 2} .0007388{col 50}{space 1}    4.00{col 59}{space 3}0.000{col 67}{space 4} .0015038{col 80}{space 3} .0043998
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0036203{col 39}{space 2} .0006011{col 50}{space 1}    6.02{col 59}{space 3}0.000{col 67}{space 4} .0024422{col 80}{space 3} .0047985
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0005223{col 39}{space 2} .0008232{col 50}{space 1}    0.63{col 59}{space 3}0.526{col 67}{space 4} -.001091{col 80}{space 3} .0021357
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 22}12  {c |}{col 27}{res}{space 2} .0322883{col 39}{space 2} .0907471{col 50}{space 1}    0.36{col 59}{space 3}0.722{col 67}{space 4}-.1455743{col 80}{space 3} .2101509
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0419206{col 39}{space 2} .0904869{col 50}{space 1}    0.46{col 59}{space 3}0.643{col 67}{space 4} -.135432{col 80}{space 3} .2192731
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0409561{col 39}{space 2} .0904327{col 50}{space 1}    0.45{col 59}{space 3}0.651{col 67}{space 4}-.1362901{col 80}{space 3} .2182024
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .0317908{col 39}{space 2} .0904076{col 50}{space 1}    0.35{col 59}{space 3}0.725{col 67}{space 4}-.1454064{col 80}{space 3} .2089879
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.0105623{col 39}{space 2} .0903717{col 50}{space 1}   -0.12{col 59}{space 3}0.907{col 67}{space 4}-.1876891{col 80}{space 3} .1665644
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0921149{col 39}{space 2} .0952215{col 50}{space 1}   -0.97{col 59}{space 3}0.333{col 67}{space 4}-.2787473{col 80}{space 3} .0945175
{txt}{space 22}18  {c |}{col 27}{res}{space 2}  .010668{col 39}{space 2} .0917143{col 50}{space 1}    0.12{col 59}{space 3}0.907{col 67}{space 4}-.1690903{col 80}{space 3} .1904263
{txt}{space 22}19  {c |}{col 27}{res}{space 2}  .025449{col 39}{space 2} .0912566{col 50}{space 1}    0.28{col 59}{space 3}0.780{col 67}{space 4}-.1534122{col 80}{space 3} .2043103
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0557112{col 39}{space 2} .0907951{col 50}{space 1}   -0.61{col 59}{space 3}0.539{col 67}{space 4}-.2336678{col 80}{space 3} .1222455
{txt}{space 22}31  {c |}{col 27}{res}{space 2}  .063076{col 39}{space 2} .0906896{col 50}{space 1}    0.70{col 59}{space 3}0.487{col 67}{space 4}-.1146738{col 80}{space 3} .2408258
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .0665911{col 39}{space 2} .0903148{col 50}{space 1}    0.74{col 59}{space 3}0.461{col 67}{space 4}-.1104241{col 80}{space 3} .2436063
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .0671677{col 39}{space 2} .0903135{col 50}{space 1}    0.74{col 59}{space 3}0.457{col 67}{space 4} -.109845{col 80}{space 3} .2441803
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .0668672{col 39}{space 2} .0903145{col 50}{space 1}    0.74{col 59}{space 3}0.459{col 67}{space 4}-.1101474{col 80}{space 3} .2438819
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .0613448{col 39}{space 2} .0903181{col 50}{space 1}    0.68{col 59}{space 3}0.497{col 67}{space 4}-.1156769{col 80}{space 3} .2383665
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .0501946{col 39}{space 2} .0903204{col 50}{space 1}    0.56{col 59}{space 3}0.578{col 67}{space 4}-.1268316{col 80}{space 3} .2272208
{txt}{space 22}37  {c |}{col 27}{res}{space 2}  .052095{col 39}{space 2} .0906827{col 50}{space 1}    0.57{col 59}{space 3}0.566{col 67}{space 4}-.1256414{col 80}{space 3} .2298314
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .0707062{col 39}{space 2} .0904312{col 50}{space 1}    0.78{col 59}{space 3}0.434{col 67}{space 4}-.1065372{col 80}{space 3} .2479496
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .0548144{col 39}{space 2} .0904143{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.1223959{col 80}{space 3} .2320247
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .0388068{col 39}{space 2} .0905123{col 50}{space 1}    0.43{col 59}{space 3}0.668{col 67}{space 4}-.1385956{col 80}{space 3} .2162091
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0718117{col 39}{space 2} .1011015{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4}-.1263453{col 80}{space 3} .2699687
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .6108024{col 39}{space 2} .1985455{col 50}{space 1}    3.08{col 59}{space 3}0.002{col 67}{space 4} .2216571{col 80}{space 3} .9999478
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0275216{col 39}{space 2} .0108377{col 50}{space 1}    2.54{col 59}{space 3}0.011{col 67}{space 4} .0062798{col 80}{space 3} .0487633
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}  .110346{col 39}{space 2} .0408106{col 50}{space 1}    2.70{col 59}{space 3}0.007{col 67}{space 4} .0303581{col 80}{space 3} .1903339
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0130147{col 39}{space 2} .0071029{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.0009069{col 80}{space 3} .0269363
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0894287{col 39}{space 2} .0265426{col 50}{space 1}    3.37{col 59}{space 3}0.001{col 67}{space 4} .0374058{col 80}{space 3} .1414516
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0107561{col 39}{space 2} .0058246{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}  -.00066{col 80}{space 3} .0221722
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}  .044261{col 39}{space 2} .0407635{col 50}{space 1}    1.09{col 59}{space 3}0.278{col 67}{space 4}-.0356347{col 80}{space 3} .1241568
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0146889{col 39}{space 2} .0053403{col 50}{space 1}    2.75{col 59}{space 3}0.006{col 67}{space 4} .0042221{col 80}{space 3} .0251557
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0912482{col 39}{space 2}  .022229{col 50}{space 1}    4.10{col 59}{space 3}0.000{col 67}{space 4} .0476798{col 80}{space 3} .1348167
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0296678{col 39}{space 2} .0042563{col 50}{space 1}    6.97{col 59}{space 3}0.000{col 67}{space 4} .0213256{col 80}{space 3} .0380101
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0031951{col 39}{space 2} .0248244{col 50}{space 1}   -0.13{col 59}{space 3}0.898{col 67}{space 4}-.0518504{col 80}{space 3} .0454601
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0947805{col 39}{space 2}  .036116{col 50}{space 1}    2.62{col 59}{space 3}0.009{col 67}{space 4} .0239938{col 80}{space 3} .1655671
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .0522609{col 39}{space 2} .1794258{col 50}{space 1}    0.29{col 59}{space 3}0.771{col 67}{space 4}-.2994102{col 80}{space 3} .4039321
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0123821{col 39}{space 2} .0204756{col 50}{space 1}    0.60{col 59}{space 3}0.545{col 67}{space 4}-.0277496{col 80}{space 3} .0525139
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0810344{col 39}{space 2} .1171754{col 50}{space 1}    0.69{col 59}{space 3}0.489{col 67}{space 4} -.148627{col 80}{space 3} .3106959
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0206771{col 39}{space 2} .0174062{col 50}{space 1}   -1.19{col 59}{space 3}0.235{col 67}{space 4}-.0547929{col 80}{space 3} .0134386
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} -.059301{col 39}{space 2} .1023337{col 50}{space 1}   -0.58{col 59}{space 3}0.562{col 67}{space 4}-.2598731{col 80}{space 3}  .141271
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}  .050377{col 39}{space 2} .0119666{col 50}{space 1}    4.21{col 59}{space 3}0.000{col 67}{space 4} .0269227{col 80}{space 3} .0738312
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0571672{col 39}{space 2} .0730211{col 50}{space 1}   -0.78{col 59}{space 3}0.434{col 67}{space 4}-.2002871{col 80}{space 3} .0859528
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}  .000524{col 39}{space 2} .0000471{col 50}{space 1}   11.13{col 59}{space 3}0.000{col 67}{space 4} .0004317{col 80}{space 3} .0006163
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.79e-07{col 39}{space 2} 3.80e-07{col 50}{space 1}    2.57{col 59}{space 3}0.010{col 67}{space 4} 2.33e-07{col 80}{space 3} 1.72e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0026793{col 39}{space 2} .0014007{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0000661{col 80}{space 3} .0054247
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0039049{col 39}{space 2} .0006017{col 50}{space 1}   -6.49{col 59}{space 3}0.000{col 67}{space 4}-.0050842{col 80}{space 3}-.0027256
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0023217{col 39}{space 2} .0019755{col 50}{space 1}   -1.18{col 59}{space 3}0.240{col 67}{space 4}-.0061937{col 80}{space 3} .0015504
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0000877{col 39}{space 2} .0000153{col 50}{space 1}    5.73{col 59}{space 3}0.000{col 67}{space 4} .0000577{col 80}{space 3} .0001177
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 9.34e-07{col 39}{space 2} 8.31e-08{col 50}{space 1}   11.24{col 59}{space 3}0.000{col 67}{space 4} 7.71e-07{col 80}{space 3} 1.10e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0016208{col 39}{space 2} .0002773{col 50}{space 1}    5.85{col 59}{space 3}0.000{col 67}{space 4} .0010774{col 80}{space 3} .0021643
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2}-.0001093{col 39}{space 2} .0001355{col 50}{space 1}   -0.81{col 59}{space 3}0.420{col 67}{space 4}-.0003749{col 80}{space 3} .0001562
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0084386{col 39}{space 2} .0011674{col 50}{space 1}    7.23{col 59}{space 3}0.000{col 67}{space 4} .0061505{col 80}{space 3} .0107268
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7901217{col 39}{space 2} .0903511{col 50}{space 1}    8.75{col 59}{space 3}0.000{col 67}{space 4} .6130354{col 80}{space 3} .9672081
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. reghdfe WP_Voted2018   WP_Relative_Voted2010 $main_controls $insample & EduCollege==0, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   948,470
{txt}Absorbing 1 HDFE group{col 51}F({res}  73{txt},{res} 185820{txt}){col 67}= {res}    227.22
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0671
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0611
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0523
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   185,821{txt}{col 51}Root MSE{col 67}= {res}    0.1539

{txt}{ralign 91:(Std. err. adjusted for {res:185,821} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .1289899{col 39}{space 2} .0025862{col 50}{space 1}   49.88{col 59}{space 3}0.000{col 67}{space 4} .1239211{col 80}{space 3} .1340587
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0056099{col 39}{space 2} .0007332{col 50}{space 1}    7.65{col 59}{space 3}0.000{col 67}{space 4} .0041729{col 80}{space 3} .0070469
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0066512{col 39}{space 2}  .000578{col 50}{space 1}   11.51{col 59}{space 3}0.000{col 67}{space 4} .0055183{col 80}{space 3}  .007784
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0049229{col 39}{space 2} .0007927{col 50}{space 1}    6.21{col 59}{space 3}0.000{col 67}{space 4} .0033692{col 80}{space 3} .0064766
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .0789412{col 39}{space 2} .0788317{col 50}{space 1}    1.00{col 59}{space 3}0.317{col 67}{space 4}-.0755671{col 80}{space 3} .2334496
{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .073924{col 39}{space 2} .0788956{col 50}{space 1}    0.94{col 59}{space 3}0.349{col 67}{space 4}-.0807096{col 80}{space 3} .2285576
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .0673904{col 39}{space 2} .0787745{col 50}{space 1}    0.86{col 59}{space 3}0.392{col 67}{space 4}-.0870058{col 80}{space 3} .2217865
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0027993{col 39}{space 2} .0791008{col 50}{space 1}    0.04{col 59}{space 3}0.972{col 67}{space 4}-.1522365{col 80}{space 3} .1578351
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .0009495{col 39}{space 2}  .078842{col 50}{space 1}    0.01{col 59}{space 3}0.990{col 67}{space 4}-.1535789{col 80}{space 3}  .155478
{txt}{space 23}7  {c |}{col 27}{res}{space 2}  -.02236{col 39}{space 2} .0805207{col 50}{space 1}   -0.28{col 59}{space 3}0.781{col 67}{space 4}-.1801788{col 80}{space 3} .1354587
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0120413{col 39}{space 2} .0788185{col 50}{space 1}    0.15{col 59}{space 3}0.879{col 67}{space 4}-.1424412{col 80}{space 3} .1665238
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0083065{col 39}{space 2} .0789355{col 50}{space 1}   -0.11{col 59}{space 3}0.916{col 67}{space 4}-.1630183{col 80}{space 3} .1464052
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0599549{col 39}{space 2}   .07956{col 50}{space 1}   -0.75{col 59}{space 3}0.451{col 67}{space 4}-.2158905{col 80}{space 3} .0959808
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .0494663{col 39}{space 2} .1214953{col 50}{space 1}    0.41{col 59}{space 3}0.684{col 67}{space 4}-.1886616{col 80}{space 3} .2875942
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .0599757{col 39}{space 2} .0791964{col 50}{space 1}    0.76{col 59}{space 3}0.449{col 67}{space 4}-.0952475{col 80}{space 3} .2151988
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0769057{col 39}{space 2} .0788929{col 50}{space 1}    0.97{col 59}{space 3}0.330{col 67}{space 4}-.0777226{col 80}{space 3}  .231534
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0757965{col 39}{space 2} .0788285{col 50}{space 1}    0.96{col 59}{space 3}0.336{col 67}{space 4}-.0787055{col 80}{space 3} .2302985
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .0669369{col 39}{space 2} .0787997{col 50}{space 1}    0.85{col 59}{space 3}0.396{col 67}{space 4}-.0875088{col 80}{space 3} .2213825
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .0286527{col 39}{space 2} .0787601{col 50}{space 1}    0.36{col 59}{space 3}0.716{col 67}{space 4}-.1257152{col 80}{space 3} .1830205
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0515357{col 39}{space 2} .0842003{col 50}{space 1}   -0.61{col 59}{space 3}0.540{col 67}{space 4}-.2165663{col 80}{space 3} .1134949
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .0464568{col 39}{space 2} .0802639{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.1108586{col 80}{space 3} .2037722
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .0603142{col 39}{space 2} .0797823{col 50}{space 1}    0.76{col 59}{space 3}0.450{col 67}{space 4}-.0960572{col 80}{space 3} .2166856
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0132167{col 39}{space 2} .0792464{col 50}{space 1}   -0.17{col 59}{space 3}0.868{col 67}{space 4}-.1685378{col 80}{space 3} .1421044
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .1058753{col 39}{space 2} .0954568{col 50}{space 1}    1.11{col 59}{space 3}0.267{col 67}{space 4}-.0812177{col 80}{space 3} .2929684
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} .7661719{col 39}{space 2} .8507222{col 50}{space 1}    0.90{col 59}{space 3}0.368{col 67}{space 4}-.9012238{col 80}{space 3} 2.433568
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0002524{col 39}{space 2} .0059549{col 50}{space 1}    0.04{col 59}{space 3}0.966{col 67}{space 4} -.011419{col 80}{space 3} .0119238
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0289954{col 39}{space 2} .0243965{col 50}{space 1}    1.19{col 59}{space 3}0.235{col 67}{space 4}-.0188211{col 80}{space 3} .0768119
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}  .003566{col 39}{space 2} .0072581{col 50}{space 1}    0.49{col 59}{space 3}0.623{col 67}{space 4}-.0106597{col 80}{space 3} .0177917
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0799001{col 39}{space 2} .0285307{col 50}{space 1}    2.80{col 59}{space 3}0.005{col 67}{space 4} .0239806{col 80}{space 3} .1358196
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0028367{col 39}{space 2} .0047644{col 50}{space 1}    0.60{col 59}{space 3}0.552{col 67}{space 4}-.0065015{col 80}{space 3} .0121749
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0357114{col 39}{space 2} .0249123{col 50}{space 1}    1.43{col 59}{space 3}0.152{col 67}{space 4}-.0131161{col 80}{space 3} .0845389
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0342583{col 39}{space 2} .0106077{col 50}{space 1}    3.23{col 59}{space 3}0.001{col 67}{space 4} .0134675{col 80}{space 3} .0550492
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0188037{col 39}{space 2} .0599361{col 50}{space 1}   -0.31{col 59}{space 3}0.754{col 67}{space 4} -.136277{col 80}{space 3} .0986696
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0403883{col 39}{space 2} .0064345{col 50}{space 1}    6.28{col 59}{space 3}0.000{col 67}{space 4} .0277768{col 80}{space 3} .0529998
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0404182{col 39}{space 2} .0312337{col 50}{space 1}    1.29{col 59}{space 3}0.196{col 67}{space 4}-.0207992{col 80}{space 3} .1016356
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0399362{col 39}{space 2} .0224695{col 50}{space 1}    1.78{col 59}{space 3}0.076{col 67}{space 4}-.0041035{col 80}{space 3} .0839759
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0210093{col 39}{space 2} .1246011{col 50}{space 1}    0.17{col 59}{space 3}0.866{col 67}{space 4}-.2232059{col 80}{space 3} .2652245
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0267862{col 39}{space 2}  .006133{col 50}{space 1}    4.37{col 59}{space 3}0.000{col 67}{space 4} .0147657{col 80}{space 3} .0388067
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0671155{col 39}{space 2} .0374426{col 50}{space 1}   -1.79{col 59}{space 3}0.073{col 67}{space 4}-.1405022{col 80}{space 3} .0062712
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0334473{col 39}{space 2} .0085611{col 50}{space 1}    3.91{col 59}{space 3}0.000{col 67}{space 4} .0166677{col 80}{space 3} .0502268
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0154651{col 39}{space 2} .0446418{col 50}{space 1}    0.35{col 59}{space 3}0.729{col 67}{space 4}-.0720317{col 80}{space 3} .1029619
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}  .051231{col 39}{space 2} .0155878{col 50}{space 1}    3.29{col 59}{space 3}0.001{col 67}{space 4} .0206792{col 80}{space 3} .0817828
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1566465{col 39}{space 2} .0876595{col 50}{space 1}   -1.79{col 59}{space 3}0.074{col 67}{space 4}-.3284572{col 80}{space 3} .0151641
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0627786{col 39}{space 2} .1038347{col 50}{space 1}    0.60{col 59}{space 3}0.545{col 67}{space 4} -.140735{col 80}{space 3} .2662923
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .5771988{col 39}{space 2}  .206822{col 50}{space 1}    2.79{col 59}{space 3}0.005{col 67}{space 4} .1718324{col 80}{space 3} .9825652
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}  .028652{col 39}{space 2} .0108648{col 50}{space 1}    2.64{col 59}{space 3}0.008{col 67}{space 4} .0073572{col 80}{space 3} .0499468
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} .1379887{col 39}{space 2} .0419669{col 50}{space 1}    3.29{col 59}{space 3}0.001{col 67}{space 4} .0557344{col 80}{space 3} .2202429
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0128277{col 39}{space 2}  .007123{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0011332{col 80}{space 3} .0267886
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .1094389{col 39}{space 2} .0273743{col 50}{space 1}    4.00{col 59}{space 3}0.000{col 67}{space 4} .0557858{col 80}{space 3} .1630919
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0108266{col 39}{space 2} .0058558{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0006507{col 80}{space 3} .0223039
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0644447{col 39}{space 2} .0413769{col 50}{space 1}    1.56{col 59}{space 3}0.119{col 67}{space 4} -.016653{col 80}{space 3} .1455424
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0170902{col 39}{space 2} .0053593{col 50}{space 1}    3.19{col 59}{space 3}0.001{col 67}{space 4} .0065861{col 80}{space 3} .0275943
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .1154754{col 39}{space 2} .0223853{col 50}{space 1}    5.16{col 59}{space 3}0.000{col 67}{space 4} .0716008{col 80}{space 3}   .15935
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}   .03112{col 39}{space 2} .0042665{col 50}{space 1}    7.29{col 59}{space 3}0.000{col 67}{space 4} .0227578{col 80}{space 3} .0394822
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0155814{col 39}{space 2} .0247153{col 50}{space 1}    0.63{col 59}{space 3}0.528{col 67}{space 4}-.0328599{col 80}{space 3} .0640228
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0950133{col 39}{space 2} .0359855{col 50}{space 1}    2.64{col 59}{space 3}0.008{col 67}{space 4} .0244825{col 80}{space 3} .1655442
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .0607567{col 39}{space 2} .1797914{col 50}{space 1}    0.34{col 59}{space 3}0.735{col 67}{space 4}-.2916302{col 80}{space 3} .4131436
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0160347{col 39}{space 2} .0204162{col 50}{space 1}    0.79{col 59}{space 3}0.432{col 67}{space 4}-.0239806{col 80}{space 3} .0560499
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0980474{col 39}{space 2} .1163126{col 50}{space 1}    0.84{col 59}{space 3}0.399{col 67}{space 4}-.1299227{col 80}{space 3} .3260175
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0162433{col 39}{space 2} .0173977{col 50}{space 1}   -0.93{col 59}{space 3}0.350{col 67}{space 4}-.0503425{col 80}{space 3} .0178559
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0413867{col 39}{space 2} .1028207{col 50}{space 1}   -0.40{col 59}{space 3}0.687{col 67}{space 4}-.2429129{col 80}{space 3} .1601395
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0502525{col 39}{space 2} .0119492{col 50}{space 1}    4.21{col 59}{space 3}0.000{col 67}{space 4} .0268324{col 80}{space 3} .0736727
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0384862{col 39}{space 2} .0727089{col 50}{space 1}   -0.53{col 59}{space 3}0.597{col 67}{space 4} -.180994{col 80}{space 3} .1040216
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0007013{col 39}{space 2} .0000603{col 50}{space 1}   11.62{col 59}{space 3}0.000{col 67}{space 4}  .000583{col 80}{space 3} .0008196
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 4.46e-06{col 39}{space 2} 6.09e-07{col 50}{space 1}    7.31{col 59}{space 3}0.000{col 67}{space 4} 3.26e-06{col 80}{space 3} 5.65e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0090485{col 39}{space 2}  .001986{col 50}{space 1}    4.56{col 59}{space 3}0.000{col 67}{space 4}  .005156{col 80}{space 3}  .012941
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0055107{col 39}{space 2} .0008001{col 50}{space 1}   -6.89{col 59}{space 3}0.000{col 67}{space 4} -.007079{col 80}{space 3}-.0039425
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0038596{col 39}{space 2} .0026323{col 50}{space 1}   -1.47{col 59}{space 3}0.143{col 67}{space 4}-.0090188{col 80}{space 3} .0012995
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0002155{col 39}{space 2} .0000191{col 50}{space 1}   11.26{col 59}{space 3}0.000{col 67}{space 4}  .000178{col 80}{space 3} .0002531
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 4.11e-06{col 39}{space 2} 1.76e-07{col 50}{space 1}   23.38{col 59}{space 3}0.000{col 67}{space 4} 3.77e-06{col 80}{space 3} 4.45e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0034528{col 39}{space 2} .0003774{col 50}{space 1}    9.15{col 59}{space 3}0.000{col 67}{space 4} .0027131{col 80}{space 3} .0041925
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0006092{col 39}{space 2} .0001715{col 50}{space 1}    3.55{col 59}{space 3}0.000{col 67}{space 4} .0002731{col 80}{space 3} .0009453
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0145526{col 39}{space 2} .0009819{col 50}{space 1}   14.82{col 59}{space 3}0.000{col 67}{space 4} .0126281{col 80}{space 3} .0164772
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6963194{col 39}{space 2} .0787667{col 50}{space 1}    8.84{col 59}{space 3}0.000{col 67}{space 4} .5419386{col 80}{space 3} .8507003
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.   
. reghdfe WP_Voted2018   WP_Relative_Voted2010 $main_controls $insample & EduCollege==1, cluster(WP_HPG_id) absorb($FE)
{res}{txt}(dropped 2 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}{txt}note: {res}WP_HPG_Edu_1_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_1_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_2_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_2_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_3_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_3_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_4_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_4_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_5_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_5_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_6_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_6_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_7_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_7_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_8_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_8_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_9_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_9_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_10_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_10_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_11_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_11_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_12_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_12_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_13_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_13_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_14_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_14_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_15_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_15_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_16_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_16_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_17_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_17_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_18_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_18_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_19_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_19_4{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_20_2{txt} omitted because of collinearity
{txt}note: {res}WP_HPG_Edu_20_4{txt} omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}   636,864
{txt}Absorbing 1 HDFE group{col 51}F({res}  33{txt},{res} 112818{txt}){col 67}= {res}     56.63
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0289
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0196
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0159
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   112,819{txt}{col 51}Root MSE{col 67}= {res}    0.0752

{txt}{ralign 91:(Std. err. adjusted for {res:112,819} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0317229{col 39}{space 2} .0027842{col 50}{space 1}   11.39{col 59}{space 3}0.000{col 67}{space 4} .0262658{col 80}{space 3}   .03718
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0000806{col 39}{space 2} .0006424{col 50}{space 1}    0.13{col 59}{space 3}0.900{col 67}{space 4}-.0011786{col 80}{space 3} .0013398
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0022176{col 39}{space 2}  .000589{col 50}{space 1}    3.77{col 59}{space 3}0.000{col 67}{space 4} .0010632{col 80}{space 3}  .003372
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0021482{col 39}{space 2} .0008187{col 50}{space 1}    2.62{col 59}{space 3}0.009{col 67}{space 4} .0005436{col 80}{space 3} .0037529
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 22}22  {c |}{col 27}{res}{space 2} .0101066{col 39}{space 2} .0053896{col 50}{space 1}    1.88{col 59}{space 3}0.061{col 67}{space 4} -.000457{col 80}{space 3} .0206701
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .0044352{col 39}{space 2}  .005373{col 50}{space 1}    0.83{col 59}{space 3}0.409{col 67}{space 4}-.0060959{col 80}{space 3} .0149663
{txt}{space 22}24  {c |}{col 27}{res}{space 2}-.0004091{col 39}{space 2} .0053965{col 50}{space 1}   -0.08{col 59}{space 3}0.940{col 67}{space 4}-.0109862{col 80}{space 3} .0101679
{txt}{space 22}25  {c |}{col 27}{res}{space 2}-.0166138{col 39}{space 2}  .005796{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4} -.027974{col 80}{space 3}-.0052536
{txt}{space 22}26  {c |}{col 27}{res}{space 2}-.0221634{col 39}{space 2} .0057057{col 50}{space 1}   -3.88{col 59}{space 3}0.000{col 67}{space 4}-.0333465{col 80}{space 3}-.0109803
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-.0405397{col 39}{space 2} .0138036{col 50}{space 1}   -2.94{col 59}{space 3}0.003{col 67}{space 4}-.0675946{col 80}{space 3}-.0134847
{txt}{space 22}28  {c |}{col 27}{res}{space 2}-.0260865{col 39}{space 2} .0062621{col 50}{space 1}   -4.17{col 59}{space 3}0.000{col 67}{space 4}-.0383601{col 80}{space 3}-.0138129
{txt}{space 22}29  {c |}{col 27}{res}{space 2}-.0283262{col 39}{space 2}   .00604{col 50}{space 1}   -4.69{col 59}{space 3}0.000{col 67}{space 4}-.0401644{col 80}{space 3}-.0164879
{txt}{space 22}30  {c |}{col 27}{res}{space 2} -.045541{col 39}{space 2} .0094043{col 50}{space 1}   -4.84{col 59}{space 3}0.000{col 67}{space 4}-.0639733{col 80}{space 3}-.0271088
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .0038816{col 39}{space 2} .0099778{col 50}{space 1}    0.39{col 59}{space 3}0.697{col 67}{space 4}-.0156747{col 80}{space 3} .0234378
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .0131324{col 39}{space 2} .0053877{col 50}{space 1}    2.44{col 59}{space 3}0.015{col 67}{space 4} .0025725{col 80}{space 3} .0236922
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .0107271{col 39}{space 2} .0053659{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4}   .00021{col 80}{space 3} .0212443
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .0098249{col 39}{space 2} .0053853{col 50}{space 1}    1.82{col 59}{space 3}0.068{col 67}{space 4}-.0007302{col 80}{space 3}   .02038
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .0028005{col 39}{space 2} .0054439{col 50}{space 1}    0.51{col 59}{space 3}0.607{col 67}{space 4}-.0078695{col 80}{space 3} .0134704
{txt}{space 22}36  {c |}{col 27}{res}{space 2}-.0096942{col 39}{space 2} .0054722{col 50}{space 1}   -1.77{col 59}{space 3}0.076{col 67}{space 4}-.0204197{col 80}{space 3} .0010313
{txt}{space 22}37  {c |}{col 27}{res}{space 2}-.0076087{col 39}{space 2} .0095413{col 50}{space 1}   -0.80{col 59}{space 3}0.425{col 67}{space 4}-.0263094{col 80}{space 3}  .011092
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .0111496{col 39}{space 2} .0070173{col 50}{space 1}    1.59{col 59}{space 3}0.112{col 67}{space 4}-.0026043{col 80}{space 3} .0249035
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0047131{col 39}{space 2} .0068567{col 50}{space 1}   -0.69{col 59}{space 3}0.492{col 67}{space 4}-.0181522{col 80}{space 3}  .008726
{txt}{space 22}40  {c |}{col 27}{res}{space 2}-.0223755{col 39}{space 2} .0080135{col 50}{space 1}   -2.79{col 59}{space 3}0.005{col 67}{space 4}-.0380818{col 80}{space 3}-.0066692
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0001242{col 39}{space 2} .0000382{col 50}{space 1}    3.25{col 59}{space 3}0.001{col 67}{space 4} .0000493{col 80}{space 3} .0001992
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 7.44e-07{col 39}{space 2} 1.82e-07{col 50}{space 1}    4.09{col 59}{space 3}0.000{col 67}{space 4} 3.87e-07{col 80}{space 3} 1.10e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0040789{col 39}{space 2} .0010984{col 50}{space 1}    3.71{col 59}{space 3}0.000{col 67}{space 4} .0019261{col 80}{space 3} .0062317
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0008115{col 39}{space 2} .0004659{col 50}{space 1}   -1.74{col 59}{space 3}0.082{col 67}{space 4}-.0017247{col 80}{space 3} .0001016
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0004029{col 39}{space 2} .0014436{col 50}{space 1}   -0.28{col 59}{space 3}0.780{col 67}{space 4}-.0032322{col 80}{space 3} .0024265
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}   .00001{col 39}{space 2} .0000119{col 50}{space 1}    0.84{col 59}{space 3}0.398{col 67}{space 4}-.0000132{col 80}{space 3} .0000333
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 2.43e-07{col 39}{space 2} 4.00e-08{col 50}{space 1}    6.07{col 59}{space 3}0.000{col 67}{space 4} 1.64e-07{col 80}{space 3} 3.21e-07
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0005644{col 39}{space 2} .0002151{col 50}{space 1}    2.62{col 59}{space 3}0.009{col 67}{space 4} .0001427{col 80}{space 3}  .000986
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0001415{col 39}{space 2} .0001032{col 50}{space 1}    1.37{col 59}{space 3}0.171{col 67}{space 4}-.0000609{col 80}{space 3} .0003438
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0054172{col 39}{space 2} .0014376{col 50}{space 1}    3.77{col 59}{space 3}0.000{col 67}{space 4} .0025996{col 80}{space 3} .0082348
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .9301133{col 39}{space 2} .0064617{col 50}{space 1}  143.94{col 59}{space 3}0.000{col 67}{space 4} .9174485{col 80}{space 3}  .942778
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     5999{col 33}{space 1}        0{col 45}{result}{space 1}     5999{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. 
. *****************************************************************
. *********** TABLE A5 Compliers  *********
. *****************************************************************
. 
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
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{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. *Binary treatment and instrument 
. g WP_Voted2018_b = .
{txt}(2,083,950 missing values generated)

{com}. g WP_Relative_Voted2010_b=.
{txt}(2,083,950 missing values generated)

{com}. replace WP_Voted2018_b = 1 if WP_Voted2018==1
{txt}(1,105,766 real changes made)

{com}. replace WP_Voted2018_b = 0 if WP_Voted2018<1
{txt}(978,184 real changes made)

{com}. 
. quietly reghdfe  WP_Relative_Voted2010  $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(WP_Relative_Voted2010_res)
{txt}
{com}. xtile  WP_Relative_Voted2010_br =  WP_Relative_Voted2010_res $insample, n(2)
{txt}
{com}. replace WP_Relative_Voted2010_br = WP_Relative_Voted2010_br -1 
{txt}(1,585,336 real changes made)

{com}. 
. ivdesc IndexWorkerVoted2010 WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  IndexWorkerVoted2010
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     .7913206     .0002627            1            0{txt}
{txt}complier    {res}     .7548852     .0036766     .1160789     .0008352{txt}
{txt}never-taker {res}     .7200285     .0008433     .2743772     .0005164{txt}
{txt}always-taker{res}     .8303502     .0007591      .609544     .0003188{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}            0            1{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. ivdesc Voted2018 WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  Voted2018
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     .9404536     .0004679            1            0{txt}
{txt}complier    {res}     .9303515     .0009488     .1160789     .0011823{txt}
{txt}never-taker {res}     .9076141     .0008455     .2743772     .0005657{txt}
{txt}always-taker{res}     .9571597     .0002016      .609544     .0006166{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}            0            1{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.1499

{com}. ivdesc ParentsVoted2010 WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  ParentsVoted2010
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     .8541224     .0001566            1            0{txt}
{txt}complier    {res}     .8370593     .0018176     .1160789     .0014947{txt}
{txt}never-taker {res}     .8366959     .0008724     .2743772     .0008719{txt}
{txt}always-taker{res}     .8652161     .0001864      .609544     .0006228{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}           .5           .5{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. ivdesc Age2022 WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  Age2022
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     47.06508     .0072668            1            0{txt}
{txt}complier    {res}     46.73854     .0753222     .1160789     .0012769{txt}
{txt}never-taker {res}     46.11822       .00123     .2743772     .0006159{txt}
{txt}always-taker{res}     47.55348     .0035579      .609544      .000661{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}            0            1{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. ivdesc EduCollege WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  EduCollege
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}      .401723     .0002069            1            0{txt}
{txt}complier    {res}     .2876799     .0022214     .1160789     .0003706{txt}
{txt}never-taker {res}     .1929744     .0009859     .2743772     .0000148{txt}
{txt}always-taker{res}      .517406     .0001666      .609544     .0003855{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}            0            1{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. ivdesc Married WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  Married
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     .4029499     .0003038            1            0{txt}
{txt}complier    {res}     .3568828     .0007052     .1160789     .0008652{txt}
{txt}never-taker {res}     .3374086     .0003992     .2743772     .0003935{txt}
{txt}always-taker{res}     .4412252     .0003986      .609544     .0004716{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}            0            1{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. ivdesc Income WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  Income
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     3893.555     .8093058            1            0{txt}
{txt}complier    {res}     3472.119     8.605262     .1160789     .0001467{txt}
{txt}never-taker {res}     3477.141     4.877414     .2743772     .0002136{txt}
{txt}always-taker{res}     4161.254     1.956628      .609544     .0000669{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}           .5           .5{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. ivdesc Female WP_Voted2018_b  WP_Relative_Voted2010_br $insample, reps(2)
{res}{txt}(running {bf:ivdesc_calc} on estimation sample)
{res}
{text}Bootstrap replications ({result:2}){text}: {res}{text}.{res}{text}.{text} done
{res}
{txt}Variable:  Female
{txt}{hline 64}
{txt}                     Mean     Boot.-SE   Proportion     Boot.-SE
{txt}{hline 64}
{txt}whole sample{res}     .4989144     .0006204            1            0{txt}
{txt}complier    {res}     .4624016     .0026818     .1160789     .0016846{txt}
{txt}never-taker {res}     .4178169     .0011873     .2743772     .0006774{txt}
{txt}always-taker{res}     .5423726     .0009067      .609544     .0010072{txt}
{txt}{hline 64}
{res}
{txt}Bootstrapped p-values:
{txt}{hline 38}
{txt}                Pr(T < t)    Pr(T > t)
{txt}{hline 38}
{txt}co vs nt    {res}            0            1{txt}
{txt}co vs at    {res}            1            0{txt}
{txt}at vs nt    {res}            0            1{txt}
{txt}{hline 38}

Balance test: H0: E[X|Z=0]=E[X|Z=1]
Pr(|T| > |t|) = 0.0000

{com}. 
. 
. *****************************************************************
. *********** TABLE A6 Exc. ineligible to vote in 2010 *********
. *****************************************************************
. 
. 
. * OLS
. reghdfe Voted2022 WP_Voted2018 $main_controls  $insample &  Age2017>25, cluster(WP_HPG_id) absorb($FE)
{res}{txt}(dropped 1 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,420,358
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 293081{txt}){col 67}= {res}   1174.36
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2628
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2596
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2483
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   293,082{txt}{col 51}Root MSE{col 67}= {res}    0.2096

{txt}{ralign 91:(Std. err. adjusted for {res:293,082} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0252401{col 39}{space 2} .0018499{col 50}{space 1}   13.64{col 59}{space 3}0.000{col 67}{space 4} .0216144{col 80}{space 3} .0288658
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0315081{col 39}{space 2} .0010923{col 50}{space 1}   28.85{col 59}{space 3}0.000{col 67}{space 4} .0293673{col 80}{space 3}  .033649
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1194968{col 39}{space 2} .0010882{col 50}{space 1}  109.81{col 59}{space 3}0.000{col 67}{space 4}  .117364{col 80}{space 3} .1216295
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1021068{col 39}{space 2} .0018731{col 50}{space 1}   54.51{col 59}{space 3}0.000{col 67}{space 4} .0984356{col 80}{space 3} .1057779
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .3207618{col 39}{space 2}  .254203{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4}-.1774689{col 80}{space 3} .8189926
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .3194135{col 39}{space 2} .2542236{col 50}{space 1}    1.26{col 59}{space 3}0.209{col 67}{space 4}-.1788576{col 80}{space 3} .8176846
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .3102004{col 39}{space 2}  .254194{col 50}{space 1}    1.22{col 59}{space 3}0.222{col 67}{space 4}-.1880127{col 80}{space 3} .8084135
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .2806078{col 39}{space 2}  .254281{col 50}{space 1}    1.10{col 59}{space 3}0.270{col 67}{space 4}-.2177759{col 80}{space 3} .7789915
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2941886{col 39}{space 2} .2542167{col 50}{space 1}    1.16{col 59}{space 3}0.247{col 67}{space 4}-.2040689{col 80}{space 3} .7924462
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .2641744{col 39}{space 2} .2546325{col 50}{space 1}    1.04{col 59}{space 3}0.300{col 67}{space 4}-.2348981{col 80}{space 3} .7632469
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .3017492{col 39}{space 2} .2541984{col 50}{space 1}    1.19{col 59}{space 3}0.235{col 67}{space 4}-.1964726{col 80}{space 3} .7999711
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2979266{col 39}{space 2} .2542317{col 50}{space 1}    1.17{col 59}{space 3}0.241{col 67}{space 4}-.2003604{col 80}{space 3} .7962137
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .2646687{col 39}{space 2} .2544509{col 50}{space 1}    1.04{col 59}{space 3}0.298{col 67}{space 4} -.234048{col 80}{space 3} .7633854
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .5191937{col 39}{space 2} .2732423{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0163535{col 80}{space 3} 1.054741
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .3169168{col 39}{space 2} .2542862{col 50}{space 1}    1.25{col 59}{space 3}0.213{col 67}{space 4} -.181477{col 80}{space 3} .8153106
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .3209024{col 39}{space 2} .2542476{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4}-.1774158{col 80}{space 3} .8192206
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .3187697{col 39}{space 2} .2542088{col 50}{space 1}    1.25{col 59}{space 3}0.210{col 67}{space 4}-.1794724{col 80}{space 3} .8170118
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .3102552{col 39}{space 2} .2542027{col 50}{space 1}    1.22{col 59}{space 3}0.222{col 67}{space 4} -.187975{col 80}{space 3} .8084855
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2968821{col 39}{space 2} .2541904{col 50}{space 1}    1.17{col 59}{space 3}0.243{col 67}{space 4} -.201324{col 80}{space 3} .7950881
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2789625{col 39}{space 2} .2557554{col 50}{space 1}    1.09{col 59}{space 3}0.275{col 67}{space 4}-.2223109{col 80}{space 3}  .780236
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .2956943{col 39}{space 2} .2546873{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.2034857{col 80}{space 3} .7948742
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2983105{col 39}{space 2} .2545058{col 50}{space 1}    1.17{col 59}{space 3}0.241{col 67}{space 4}-.2005139{col 80}{space 3} .7971348
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .2762215{col 39}{space 2} .2543469{col 50}{space 1}    1.09{col 59}{space 3}0.277{col 67}{space 4}-.2222913{col 80}{space 3} .7747343
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .3217295{col 39}{space 2} .2543191{col 50}{space 1}    1.27{col 59}{space 3}0.206{col 67}{space 4}-.1767288{col 80}{space 3} .8201878
{txt}{space 22}22  {c |}{col 27}{res}{space 2}  .316803{col 39}{space 2} .2541669{col 50}{space 1}    1.25{col 59}{space 3}0.213{col 67}{space 4} -.181357{col 80}{space 3}  .814963
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .3204898{col 39}{space 2} .2541637{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4} -.177664{col 80}{space 3} .8186435
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .3210461{col 39}{space 2} .2541648{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4}-.1771098{col 80}{space 3} .8192021
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .3153527{col 39}{space 2} .2541734{col 50}{space 1}    1.24{col 59}{space 3}0.215{col 67}{space 4}-.1828202{col 80}{space 3} .8135255
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .3151525{col 39}{space 2} .2541706{col 50}{space 1}    1.24{col 59}{space 3}0.215{col 67}{space 4}-.1830149{col 80}{space 3} .8133198
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .3083353{col 39}{space 2} .2544291{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4}-.1903387{col 80}{space 3} .8070093
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .3159889{col 39}{space 2}  .254183{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4}-.1822027{col 80}{space 3} .8141804
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .3064077{col 39}{space 2} .2541787{col 50}{space 1}    1.21{col 59}{space 3}0.228{col 67}{space 4}-.1917755{col 80}{space 3} .8045908
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .3011271{col 39}{space 2} .2542821{col 50}{space 1}    1.18{col 59}{space 3}0.236{col 67}{space 4}-.1972587{col 80}{space 3} .7995128
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .3303595{col 39}{space 2} .2543353{col 50}{space 1}    1.30{col 59}{space 3}0.194{col 67}{space 4}-.1681306{col 80}{space 3} .8288497
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .3202454{col 39}{space 2} .2541652{col 50}{space 1}    1.26{col 59}{space 3}0.208{col 67}{space 4}-.1779113{col 80}{space 3} .8184021
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .3228702{col 39}{space 2} .2541639{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4}-.1752841{col 80}{space 3} .8210244
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .3246038{col 39}{space 2} .2541649{col 50}{space 1}    1.28{col 59}{space 3}0.202{col 67}{space 4}-.1735522{col 80}{space 3} .8227599
{txt}{space 22}35  {c |}{col 27}{res}{space 2}  .322884{col 39}{space 2}  .254165{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4}-.1752723{col 80}{space 3} .8210402
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .314932{col 39}{space 2}  .254166{col 50}{space 1}    1.24{col 59}{space 3}0.215{col 67}{space 4}-.1832263{col 80}{space 3} .8130904
{txt}{space 22}37  {c |}{col 27}{res}{space 2}   .32447{col 39}{space 2} .2543234{col 50}{space 1}    1.28{col 59}{space 3}0.202{col 67}{space 4}-.1739968{col 80}{space 3} .8229369
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .3275697{col 39}{space 2} .2542541{col 50}{space 1}    1.29{col 59}{space 3}0.198{col 67}{space 4}-.1707613{col 80}{space 3} .8259006
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .3190375{col 39}{space 2} .2542157{col 50}{space 1}    1.25{col 59}{space 3}0.209{col 67}{space 4}-.1792181{col 80}{space 3} .8172931
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .3135877{col 39}{space 2} .2542733{col 50}{space 1}    1.23{col 59}{space 3}0.217{col 67}{space 4}-.1847808{col 80}{space 3} .8119562
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .4567397{col 39}{space 2} .3039288{col 50}{space 1}    1.50{col 59}{space 3}0.133{col 67}{space 4}-.1389522{col 80}{space 3} 1.052432
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.935219{col 39}{space 2} 1.602393{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4}-6.075865{col 80}{space 3} .2054271
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0024414{col 39}{space 2} .0056367{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.0134891{col 80}{space 3} .0086063
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0057294{col 39}{space 2}  .035801{col 50}{space 1}   -0.16{col 59}{space 3}0.873{col 67}{space 4}-.0758984{col 80}{space 3} .0644395
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0043382{col 39}{space 2} .0071179{col 50}{space 1}   -0.61{col 59}{space 3}0.542{col 67}{space 4}-.0182891{col 80}{space 3} .0096126
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.1076243{col 39}{space 2} .0514352{col 50}{space 1}   -2.09{col 59}{space 3}0.036{col 67}{space 4}-.2084359{col 80}{space 3}-.0068127
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0064092{col 39}{space 2} .0047799{col 50}{space 1}    1.34{col 59}{space 3}0.180{col 67}{space 4}-.0029593{col 80}{space 3} .0157777
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0089332{col 39}{space 2} .0266388{col 50}{space 1}    0.34{col 59}{space 3}0.737{col 67}{space 4}-.0432781{col 80}{space 3} .0611445
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0183358{col 39}{space 2} .0102641{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0017815{col 80}{space 3} .0384531
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0534337{col 39}{space 2} .0490747{col 50}{space 1}    1.09{col 59}{space 3}0.276{col 67}{space 4}-.0427514{col 80}{space 3} .1496188
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0003637{col 39}{space 2} .0067411{col 50}{space 1}   -0.05{col 59}{space 3}0.957{col 67}{space 4}-.0135761{col 80}{space 3} .0128487
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.1107148{col 39}{space 2} .0360768{col 50}{space 1}   -3.07{col 59}{space 3}0.002{col 67}{space 4}-.1814243{col 80}{space 3}-.0400053
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0253463{col 39}{space 2} .0209391{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4}-.0156936{col 80}{space 3} .0663863
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1355558{col 39}{space 2} .1344185{col 50}{space 1}   -1.01{col 59}{space 3}0.313{col 67}{space 4}-.3990123{col 80}{space 3} .1279008
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0014951{col 39}{space 2} .0056863{col 50}{space 1}    0.26{col 59}{space 3}0.793{col 67}{space 4}-.0096499{col 80}{space 3} .0126401
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0405282{col 39}{space 2} .0312275{col 50}{space 1}   -1.30{col 59}{space 3}0.194{col 67}{space 4}-.1017332{col 80}{space 3} .0206767
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0065658{col 39}{space 2} .0079206{col 50}{space 1}    0.83{col 59}{space 3}0.407{col 67}{space 4}-.0089583{col 80}{space 3} .0220899
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0162439{col 39}{space 2} .0416546{col 50}{space 1}   -0.39{col 59}{space 3}0.697{col 67}{space 4}-.0978857{col 80}{space 3} .0653979
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0058718{col 39}{space 2} .0161958{col 50}{space 1}    0.36{col 59}{space 3}0.717{col 67}{space 4}-.0258715{col 80}{space 3} .0376152
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1217179{col 39}{space 2} .0988076{col 50}{space 1}   -1.23{col 59}{space 3}0.218{col 67}{space 4}-.3153779{col 80}{space 3} .0719422
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.2187456{col 39}{space 2}   .12496{col 50}{space 1}   -1.75{col 59}{space 3}0.080{col 67}{space 4}-.4636637{col 80}{space 3} .0261725
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1134116{col 39}{space 2} .3160315{col 50}{space 1}    0.36{col 59}{space 3}0.720{col 67}{space 4}-.5060013{col 80}{space 3} .7328246
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0015066{col 39}{space 2}  .009928{col 50}{space 1}    0.15{col 59}{space 3}0.879{col 67}{space 4} -.017952{col 80}{space 3} .0209651
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0134012{col 39}{space 2} .1191508{col 50}{space 1}   -0.11{col 59}{space 3}0.910{col 67}{space 4}-.2469335{col 80}{space 3}  .220131
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0037409{col 39}{space 2} .0082303{col 50}{space 1}   -0.45{col 59}{space 3}0.649{col 67}{space 4} -.019872{col 80}{space 3} .0123901
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0417966{col 39}{space 2} .0323019{col 50}{space 1}    1.29{col 59}{space 3}0.196{col 67}{space 4}-.0215142{col 80}{space 3} .1051074
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0027925{col 39}{space 2} .0058792{col 50}{space 1}   -0.47{col 59}{space 3}0.635{col 67}{space 4}-.0143156{col 80}{space 3} .0087307
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0114012{col 39}{space 2} .0357672{col 50}{space 1}    0.32{col 59}{space 3}0.750{col 67}{space 4}-.0587016{col 80}{space 3} .0815039
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0066908{col 39}{space 2} .0053197{col 50}{space 1}    1.26{col 59}{space 3}0.208{col 67}{space 4}-.0037356{col 80}{space 3} .0171173
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}-.0027309{col 39}{space 2} .0323365{col 50}{space 1}   -0.08{col 59}{space 3}0.933{col 67}{space 4}-.0661095{col 80}{space 3} .0606478
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0049566{col 39}{space 2} .0045866{col 50}{space 1}    1.08{col 59}{space 3}0.280{col 67}{space 4} -.004033{col 80}{space 3} .0139463
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0288038{col 39}{space 2} .0259194{col 50}{space 1}    1.11{col 59}{space 3}0.266{col 67}{space 4}-.0219974{col 80}{space 3}  .079605
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}  .022395{col 39}{space 2} .0358544{col 50}{space 1}    0.62{col 59}{space 3}0.532{col 67}{space 4}-.0478787{col 80}{space 3} .0926687
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1450953{col 39}{space 2} .0645009{col 50}{space 1}    2.25{col 59}{space 3}0.024{col 67}{space 4} .0186753{col 80}{space 3} .2715153
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0070243{col 39}{space 2} .0211192{col 50}{space 1}    0.33{col 59}{space 3}0.739{col 67}{space 4}-.0343687{col 80}{space 3} .0484174
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1242023{col 39}{space 2}  .099862{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4}-.0715244{col 80}{space 3} .3199291
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0120768{col 39}{space 2} .0176926{col 50}{space 1}    0.68{col 59}{space 3}0.495{col 67}{space 4}-.0226003{col 80}{space 3} .0467539
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.1455265{col 39}{space 2} .1073036{col 50}{space 1}   -1.36{col 59}{space 3}0.175{col 67}{space 4}-.3558385{col 80}{space 3} .0647856
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0096608{col 39}{space 2} .0125171{col 50}{space 1}    0.77{col 59}{space 3}0.440{col 67}{space 4}-.0148724{col 80}{space 3}  .034194
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} .0334686{col 39}{space 2} .0530758{col 50}{space 1}    0.63{col 59}{space 3}0.528{col 67}{space 4}-.0705586{col 80}{space 3} .1374957
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000409{col 39}{space 2} .0000413{col 50}{space 1}    0.99{col 59}{space 3}0.322{col 67}{space 4}  -.00004{col 80}{space 3} .0001217
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.68e-07{col 39}{space 2} 2.62e-07{col 50}{space 1}    3.31{col 59}{space 3}0.001{col 67}{space 4} 3.54e-07{col 80}{space 3} 1.38e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0136532{col 39}{space 2} .0011907{col 50}{space 1}   11.47{col 59}{space 3}0.000{col 67}{space 4} .0113194{col 80}{space 3} .0159869
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0012614{col 39}{space 2} .0005166{col 50}{space 1}    2.44{col 59}{space 3}0.015{col 67}{space 4} .0002489{col 80}{space 3} .0022739
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0069794{col 39}{space 2} .0014822{col 50}{space 1}    4.71{col 59}{space 3}0.000{col 67}{space 4} .0040743{col 80}{space 3} .0098844
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000647{col 39}{space 2} .0000205{col 50}{space 1}   -3.15{col 59}{space 3}0.002{col 67}{space 4} -.000105{col 80}{space 3}-.0000245
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.39e-06{col 39}{space 2} 1.55e-07{col 50}{space 1}    8.95{col 59}{space 3}0.000{col 67}{space 4} 1.09e-06{col 80}{space 3} 1.69e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0108568{col 39}{space 2} .0003763{col 50}{space 1}   28.85{col 59}{space 3}0.000{col 67}{space 4} .0101192{col 80}{space 3} .0115943
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0020471{col 39}{space 2} .0001877{col 50}{space 1}   10.91{col 59}{space 3}0.000{col 67}{space 4} .0016792{col 80}{space 3} .0024149
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4384618{col 39}{space 2} .0018644{col 50}{space 1}  235.18{col 59}{space 3}0.000{col 67}{space 4} .4348077{col 80}{space 3} .4421159
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0336107{col 39}{space 2} .2542011{col 50}{space 1}    0.13{col 59}{space 3}0.895{col 67}{space 4}-.4646163{col 80}{space 3} .5318378
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6001{col 33}{space 1}        0{col 45}{result}{space 1}     6001{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. 
. * first stage
. reghdfe WP_Voted2018  WP_Relative_Voted2010 $main_controls  $insample &  Age2017>25, cluster(WP_HPG_id) absorb($FE)
{res}{txt}(dropped 1 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,420,358
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 293081{txt}){col 67}= {res}    439.21
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1154
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1116
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0933
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   293,082{txt}{col 51}Root MSE{col 67}= {res}    0.1239

{txt}{ralign 91:(Std. err. adjusted for {res:293,082} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2}  .103433{col 39}{space 2} .0021368{col 50}{space 1}   48.41{col 59}{space 3}0.000{col 67}{space 4} .0992449{col 80}{space 3} .1076211
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0047836{col 39}{space 2} .0006009{col 50}{space 1}    7.96{col 59}{space 3}0.000{col 67}{space 4} .0036059{col 80}{space 3} .0059613
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0068536{col 39}{space 2}  .000472{col 50}{space 1}   14.52{col 59}{space 3}0.000{col 67}{space 4} .0059286{col 80}{space 3} .0077787
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0045444{col 39}{space 2} .0009737{col 50}{space 1}    4.67{col 59}{space 3}0.000{col 67}{space 4} .0026359{col 80}{space 3} .0064528
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2}  .148441{col 39}{space 2} .0963633{col 50}{space 1}    1.54{col 59}{space 3}0.123{col 67}{space 4}-.0404283{col 80}{space 3} .3373104
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .1379994{col 39}{space 2} .0964202{col 50}{space 1}    1.43{col 59}{space 3}0.152{col 67}{space 4}-.0509816{col 80}{space 3} .3269803
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .1329985{col 39}{space 2} .0963224{col 50}{space 1}    1.38{col 59}{space 3}0.167{col 67}{space 4}-.0557907{col 80}{space 3} .3217878
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0675674{col 39}{space 2} .0966064{col 50}{space 1}    0.70{col 59}{space 3}0.484{col 67}{space 4}-.1217785{col 80}{space 3} .2569132
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .0597711{col 39}{space 2} .0964023{col 50}{space 1}    0.62{col 59}{space 3}0.535{col 67}{space 4}-.1291748{col 80}{space 3}  .248717
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .0266317{col 39}{space 2} .0978824{col 50}{space 1}    0.27{col 59}{space 3}0.786{col 67}{space 4}-.1652151{col 80}{space 3} .2184786
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0684184{col 39}{space 2} .0963676{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4}-.1204594{col 80}{space 3} .2572961
{txt}{space 23}9  {c |}{col 27}{res}{space 2}  .053405{col 39}{space 2} .0964701{col 50}{space 1}    0.55{col 59}{space 3}0.580{col 67}{space 4}-.1356736{col 80}{space 3} .2424836
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .0012061{col 39}{space 2}  .097139{col 50}{space 1}    0.01{col 59}{space 3}0.990{col 67}{space 4}-.1891837{col 80}{space 3} .1915958
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .1559977{col 39}{space 2} .1169408{col 50}{space 1}    1.33{col 59}{space 3}0.182{col 67}{space 4}-.0732029{col 80}{space 3} .3851984
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .1310382{col 39}{space 2} .0966582{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0584093{col 80}{space 3} .3204856
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .1437422{col 39}{space 2} .0964073{col 50}{space 1}    1.49{col 59}{space 3}0.136{col 67}{space 4}-.0452133{col 80}{space 3} .3326978
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .1413367{col 39}{space 2} .0963619{col 50}{space 1}    1.47{col 59}{space 3}0.142{col 67}{space 4}-.0475299{col 80}{space 3} .3302032
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .1307327{col 39}{space 2} .0963419{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0580947{col 80}{space 3} .3195601
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .0876652{col 39}{space 2} .0963184{col 50}{space 1}    0.91{col 59}{space 3}0.363{col 67}{space 4}-.1011162{col 80}{space 3} .2764466
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0110444{col 39}{space 2}  .101713{col 50}{space 1}   -0.11{col 59}{space 3}0.914{col 67}{space 4}-.2103991{col 80}{space 3} .1883103
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .0999843{col 39}{space 2} .0977933{col 50}{space 1}    1.02{col 59}{space 3}0.307{col 67}{space 4}-.0916879{col 80}{space 3} .2916565
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1078012{col 39}{space 2} .0971919{col 50}{space 1}    1.11{col 59}{space 3}0.267{col 67}{space 4}-.0826922{col 80}{space 3} .2982947
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .0460534{col 39}{space 2} .0968022{col 50}{space 1}    0.48{col 59}{space 3}0.634{col 67}{space 4}-.1436761{col 80}{space 3}  .235783
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .1540722{col 39}{space 2} .0964143{col 50}{space 1}    1.60{col 59}{space 3}0.110{col 67}{space 4}-.0348971{col 80}{space 3} .3430415
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .1578915{col 39}{space 2} .0962574{col 50}{space 1}    1.64{col 59}{space 3}0.101{col 67}{space 4}-.0307705{col 80}{space 3} .3465534
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .1566387{col 39}{space 2} .0962552{col 50}{space 1}    1.63{col 59}{space 3}0.104{col 67}{space 4}-.0320188{col 80}{space 3} .3452962
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .1524177{col 39}{space 2} .0962566{col 50}{space 1}    1.58{col 59}{space 3}0.113{col 67}{space 4}-.0362425{col 80}{space 3}  .341078
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .1408571{col 39}{space 2} .0962816{col 50}{space 1}    1.46{col 59}{space 3}0.143{col 67}{space 4}-.0478522{col 80}{space 3} .3295663
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .1339427{col 39}{space 2} .0962767{col 50}{space 1}    1.39{col 59}{space 3}0.164{col 67}{space 4} -.054757{col 80}{space 3} .3226425
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .1122685{col 39}{space 2} .0971341{col 50}{space 1}    1.16{col 59}{space 3}0.248{col 67}{space 4}-.0781116{col 80}{space 3} .3026485
{txt}{space 22}28  {c |}{col 27}{res}{space 2}  .127808{col 39}{space 2} .0963132{col 50}{space 1}    1.33{col 59}{space 3}0.185{col 67}{space 4}-.0609632{col 80}{space 3} .3165792
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .1270405{col 39}{space 2} .0962922{col 50}{space 1}    1.32{col 59}{space 3}0.187{col 67}{space 4}-.0616896{col 80}{space 3} .3157705
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .1111597{col 39}{space 2} .0966103{col 50}{space 1}    1.15{col 59}{space 3}0.250{col 67}{space 4}-.0781937{col 80}{space 3} .3005131
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .1581309{col 39}{space 2} .0966801{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4}-.0313594{col 80}{space 3} .3476213
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{txt}{space 22}33  {c |}{col 27}{res}{space 2} .1627256{col 39}{space 2} .0962543{col 50}{space 1}    1.69{col 59}{space 3}0.091{col 67}{space 4}-.0259302{col 80}{space 3} .3513815
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .1627305{col 39}{space 2} .0962552{col 50}{space 1}    1.69{col 59}{space 3}0.091{col 67}{space 4}-.0259269{col 80}{space 3}  .351388
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .1575936{col 39}{space 2} .0962589{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4}-.0310712{col 80}{space 3} .3462584
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .1452572{col 39}{space 2} .0962607{col 50}{space 1}    1.51{col 59}{space 3}0.131{col 67}{space 4} -.043411{col 80}{space 3} .3339254
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .1460857{col 39}{space 2} .0966116{col 50}{space 1}    1.51{col 59}{space 3}0.131{col 67}{space 4}-.0432703{col 80}{space 3} .3354417
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .1648383{col 39}{space 2} .0963872{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4} -.024078{col 80}{space 3} .3537546
{txt}{space 22}39  {c |}{col 27}{res}{space 2}  .153186{col 39}{space 2}  .096351{col 50}{space 1}    1.59{col 59}{space 3}0.112{col 67}{space 4}-.0356594{col 80}{space 3} .3420313
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .1302089{col 39}{space 2} .0965086{col 50}{space 1}    1.35{col 59}{space 3}0.177{col 67}{space 4}-.0589452{col 80}{space 3}  .319363
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .1862264{col 39}{space 2} .1159787{col 50}{space 1}    1.61{col 59}{space 3}0.108{col 67}{space 4}-.0410885{col 80}{space 3} .4135414
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} 1.049264{col 39}{space 2} .7217516{col 50}{space 1}    1.45{col 59}{space 3}0.146{col 67}{space 4}-.3653487{col 80}{space 3} 2.463877
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0035566{col 39}{space 2} .0058796{col 50}{space 1}    0.60{col 59}{space 3}0.545{col 67}{space 4}-.0079672{col 80}{space 3} .0150803
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0246058{col 39}{space 2} .0239452{col 50}{space 1}    1.03{col 59}{space 3}0.304{col 67}{space 4}-.0223261{col 80}{space 3} .0715378
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0077273{col 39}{space 2}  .007277{col 50}{space 1}    1.06{col 59}{space 3}0.288{col 67}{space 4}-.0065355{col 80}{space 3} .0219901
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0775157{col 39}{space 2} .0291965{col 50}{space 1}    2.65{col 59}{space 3}0.008{col 67}{space 4} .0202915{col 80}{space 3} .1347399
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0027121{col 39}{space 2} .0047665{col 50}{space 1}    0.57{col 59}{space 3}0.569{col 67}{space 4}-.0066301{col 80}{space 3} .0120543
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0211532{col 39}{space 2} .0251804{col 50}{space 1}    0.84{col 59}{space 3}0.401{col 67}{space 4}-.0281996{col 80}{space 3}  .070506
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0292602{col 39}{space 2}  .010935{col 50}{space 1}    2.68{col 59}{space 3}0.007{col 67}{space 4} .0078279{col 80}{space 3} .0506926
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0391194{col 39}{space 2} .0662925{col 50}{space 1}   -0.59{col 59}{space 3}0.555{col 67}{space 4}-.1690508{col 80}{space 3} .0908119
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0417014{col 39}{space 2} .0069722{col 50}{space 1}    5.98{col 59}{space 3}0.000{col 67}{space 4} .0280361{col 80}{space 3} .0553668
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0214267{col 39}{space 2} .0336063{col 50}{space 1}    0.64{col 59}{space 3}0.524{col 67}{space 4}-.0444408{col 80}{space 3} .0872942
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0531463{col 39}{space 2} .0231629{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .0077477{col 80}{space 3} .0985448
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.0285602{col 39}{space 2} .1308802{col 50}{space 1}   -0.22{col 59}{space 3}0.827{col 67}{space 4}-.2850818{col 80}{space 3} .2279614
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0309041{col 39}{space 2} .0064325{col 50}{space 1}    4.80{col 59}{space 3}0.000{col 67}{space 4} .0182966{col 80}{space 3} .0435115
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0472459{col 39}{space 2} .0374483{col 50}{space 1}   -1.26{col 59}{space 3}0.207{col 67}{space 4}-.1206436{col 80}{space 3} .0261518
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0332868{col 39}{space 2} .0088762{col 50}{space 1}    3.75{col 59}{space 3}0.000{col 67}{space 4} .0158898{col 80}{space 3} .0506838
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .0168416{col 39}{space 2} .0445651{col 50}{space 1}    0.38{col 59}{space 3}0.705{col 67}{space 4}-.0705048{col 80}{space 3}  .104188
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0467462{col 39}{space 2} .0175959{col 50}{space 1}    2.66{col 59}{space 3}0.008{col 67}{space 4} .0122588{col 80}{space 3} .0812337
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.2320698{col 39}{space 2} .1060507{col 50}{space 1}   -2.19{col 59}{space 3}0.029{col 67}{space 4}-.4399263{col 80}{space 3}-.0242134
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0120387{col 39}{space 2} .0722189{col 50}{space 1}    0.17{col 59}{space 3}0.868{col 67}{space 4}-.1295084{col 80}{space 3} .1535858
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .4066694{col 39}{space 2} .2048943{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0050823{col 80}{space 3} .8082566
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0257772{col 39}{space 2} .0108342{col 50}{space 1}    2.38{col 59}{space 3}0.017{col 67}{space 4} .0045425{col 80}{space 3} .0470119
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} .1280096{col 39}{space 2} .0313113{col 50}{space 1}    4.09{col 59}{space 3}0.000{col 67}{space 4} .0666404{col 80}{space 3} .1893788
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0089919{col 39}{space 2} .0069133{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.0045579{col 80}{space 3} .0225417
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .1034592{col 39}{space 2} .0276712{col 50}{space 1}    3.74{col 59}{space 3}0.000{col 67}{space 4} .0492243{col 80}{space 3} .1576941
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0066889{col 39}{space 2}  .005783{col 50}{space 1}    1.16{col 59}{space 3}0.247{col 67}{space 4}-.0046457{col 80}{space 3} .0180235
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0617463{col 39}{space 2} .0406909{col 50}{space 1}    1.52{col 59}{space 3}0.129{col 67}{space 4}-.0180066{col 80}{space 3} .1414993
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0142335{col 39}{space 2} .0053791{col 50}{space 1}    2.65{col 59}{space 3}0.008{col 67}{space 4} .0036906{col 80}{space 3} .0247764
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .1054357{col 39}{space 2} .0218371{col 50}{space 1}    4.83{col 59}{space 3}0.000{col 67}{space 4} .0626355{col 80}{space 3} .1482358
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0286555{col 39}{space 2} .0045627{col 50}{space 1}    6.28{col 59}{space 3}0.000{col 67}{space 4} .0197127{col 80}{space 3} .0375983
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} -.002652{col 39}{space 2} .0277281{col 50}{space 1}   -0.10{col 59}{space 3}0.924{col 67}{space 4}-.0569983{col 80}{space 3} .0516943
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .1239412{col 39}{space 2} .0395334{col 50}{space 1}    3.14{col 59}{space 3}0.002{col 67}{space 4} .0464568{col 80}{space 3} .2014256
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}  .015482{col 39}{space 2} .1978133{col 50}{space 1}    0.08{col 59}{space 3}0.938{col 67}{space 4}-.3722266{col 80}{space 3} .4031906
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0245623{col 39}{space 2} .0222981{col 50}{space 1}    1.10{col 59}{space 3}0.271{col 67}{space 4}-.0191413{col 80}{space 3} .0682659
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1481517{col 39}{space 2} .1314358{col 50}{space 1}    1.13{col 59}{space 3}0.260{col 67}{space 4}-.1094588{col 80}{space 3} .4057622
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0013255{col 39}{space 2} .0178058{col 50}{space 1}    0.07{col 59}{space 3}0.941{col 67}{space 4}-.0335734{col 80}{space 3} .0362244
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} .0113411{col 39}{space 2} .0891347{col 50}{space 1}    0.13{col 59}{space 3}0.899{col 67}{space 4}-.1633604{col 80}{space 3} .1860426
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0445041{col 39}{space 2}  .013328{col 50}{space 1}    3.34{col 59}{space 3}0.001{col 67}{space 4} .0183816{col 80}{space 3} .0706266
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0508649{col 39}{space 2} .0819261{col 50}{space 1}   -0.62{col 59}{space 3}0.535{col 67}{space 4}-.2114377{col 80}{space 3} .1097079
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0005219{col 39}{space 2} .0000382{col 50}{space 1}   13.66{col 59}{space 3}0.000{col 67}{space 4} .0004471{col 80}{space 3} .0005968
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.05e-06{col 39}{space 2} 2.15e-07{col 50}{space 1}    4.88{col 59}{space 3}0.000{col 67}{space 4} 6.29e-07{col 80}{space 3} 1.47e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0068966{col 39}{space 2} .0011492{col 50}{space 1}    6.00{col 59}{space 3}0.000{col 67}{space 4} .0046442{col 80}{space 3} .0091489
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0039942{col 39}{space 2}  .000485{col 50}{space 1}   -8.24{col 59}{space 3}0.000{col 67}{space 4}-.0049447{col 80}{space 3}-.0030436
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}-.0029727{col 39}{space 2} .0014782{col 50}{space 1}   -2.01{col 59}{space 3}0.044{col 67}{space 4}  -.00587{col 80}{space 3}-.0000754
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0001535{col 39}{space 2} .0000132{col 50}{space 1}   11.64{col 59}{space 3}0.000{col 67}{space 4} .0001277{col 80}{space 3} .0001794
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 8.53e-07{col 39}{space 2} 9.48e-08{col 50}{space 1}    9.00{col 59}{space 3}0.000{col 67}{space 4} 6.67e-07{col 80}{space 3} 1.04e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2}  .002274{col 39}{space 2} .0002374{col 50}{space 1}    9.58{col 59}{space 3}0.000{col 67}{space 4} .0018088{col 80}{space 3} .0027393
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0003388{col 39}{space 2} .0001137{col 50}{space 1}    2.98{col 59}{space 3}0.003{col 67}{space 4}  .000116{col 80}{space 3} .0005616
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}  .013459{col 39}{space 2} .0008954{col 50}{space 1}   15.03{col 59}{space 3}0.000{col 67}{space 4}  .011704{col 80}{space 3}  .015214
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6773727{col 39}{space 2} .0962845{col 50}{space 1}    7.04{col 59}{space 3}0.000{col 67}{space 4} .4886579{col 80}{space 3} .8660876
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6001{col 33}{space 1}        0{col 45}{result}{space 1}     6001{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. 
. *reduced form
. reghdfe Voted2022 WP_Relative_Voted2010 $main_controls  $insample &  Age2017>25, cluster(WP_HPG_id) absorb($FE)
{res}{txt}(dropped 1 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,420,358
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 293081{txt}){col 67}= {res}   1171.81
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2626
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2595
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2481
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   293,082{txt}{col 51}Root MSE{col 67}= {res}    0.2096

{txt}{ralign 91:(Std. err. adjusted for {res:293,082} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0077984{col 39}{space 2} .0018219{col 50}{space 1}    4.28{col 59}{space 3}0.000{col 67}{space 4} .0042276{col 80}{space 3} .0113692
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2}  .031613{col 39}{space 2} .0010926{col 50}{space 1}   28.93{col 59}{space 3}0.000{col 67}{space 4} .0294716{col 80}{space 3} .0337545
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1196547{col 39}{space 2} .0010883{col 50}{space 1}  109.95{col 59}{space 3}0.000{col 67}{space 4} .1175217{col 80}{space 3} .1217877
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1022126{col 39}{space 2} .0018732{col 50}{space 1}   54.57{col 59}{space 3}0.000{col 67}{space 4} .0985413{col 80}{space 3}  .105884
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .3243584{col 39}{space 2}  .254704{col 50}{space 1}    1.27{col 59}{space 3}0.203{col 67}{space 4}-.1748544{col 80}{space 3} .8235712
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .3228104{col 39}{space 2} .2547247{col 50}{space 1}    1.27{col 59}{space 3}0.205{col 67}{space 4}-.1764429{col 80}{space 3} .8220638
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .3134803{col 39}{space 2} .2546952{col 50}{space 1}    1.23{col 59}{space 3}0.218{col 67}{space 4}-.1857152{col 80}{space 3} .8126759
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .2823644{col 39}{space 2} .2547827{col 50}{space 1}    1.11{col 59}{space 3}0.268{col 67}{space 4}-.2170027{col 80}{space 3} .7817314
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2957819{col 39}{space 2} .2547179{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.2034581{col 80}{space 3} .7950219
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .2649373{col 39}{space 2} .2551346{col 50}{space 1}    1.04{col 59}{space 3}0.299{col 67}{space 4}-.2351194{col 80}{space 3}  .764994
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .3035799{col 39}{space 2} .2546997{col 50}{space 1}    1.19{col 59}{space 3}0.233{col 67}{space 4}-.1956245{col 80}{space 3} .8027842
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2993953{col 39}{space 2} .2547329{col 50}{space 1}    1.18{col 59}{space 3}0.240{col 67}{space 4}-.1998741{col 80}{space 3} .7986647
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .2649127{col 39}{space 2} .2549527{col 50}{space 1}    1.04{col 59}{space 3}0.299{col 67}{space 4}-.2347874{col 80}{space 3} .7646129
{txt}{space 22}11  {c |}{col 27}{res}{space 2}  .523631{col 39}{space 2} .2737868{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0129835{col 80}{space 3} 1.060246
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{txt}{space 22}21  {c |}{col 27}{res}{space 2} .3247698{col 39}{space 2} .2548194{col 50}{space 1}    1.27{col 59}{space 3}0.202{col 67}{space 4}-.1746692{col 80}{space 3} .8242088
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .3199552{col 39}{space 2} .2546679{col 50}{space 1}    1.26{col 59}{space 3}0.209{col 67}{space 4}-.1791868{col 80}{space 3} .8190971
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{txt}{space 22}24  {c |}{col 27}{res}{space 2} .3240704{col 39}{space 2} .2546658{col 50}{space 1}    1.27{col 59}{space 3}0.203{col 67}{space 4}-.1750675{col 80}{space 3} .8232082
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{txt}{space 22}27  {c |}{col 27}{res}{space 2} .3103524{col 39}{space 2} .2549295{col 50}{space 1}    1.22{col 59}{space 3}0.223{col 67}{space 4}-.1893023{col 80}{space 3}  .810007
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .3183985{col 39}{space 2} .2546839{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.1807749{col 80}{space 3} .8175718
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{txt}{space 22}31  {c |}{col 27}{res}{space 2} .3334855{col 39}{space 2} .2548341{col 50}{space 1}    1.31{col 59}{space 3}0.191{col 67}{space 4}-.1659822{col 80}{space 3} .8329532
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .3234272{col 39}{space 2} .2546662{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4}-.1757114{col 80}{space 3} .8225657
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{txt}{space 22}35  {c |}{col 27}{res}{space 2} .3259551{col 39}{space 2} .2546659{col 50}{space 1}    1.28{col 59}{space 3}0.201{col 67}{space 4}-.1731829{col 80}{space 3} .8250932
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .3176819{col 39}{space 2}  .254667{col 50}{space 1}    1.25{col 59}{space 3}0.212{col 67}{space 4}-.1814582{col 80}{space 3} .8168221
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .3272472{col 39}{space 2} .2548216{col 50}{space 1}    1.28{col 59}{space 3}0.199{col 67}{space 4}-.1721961{col 80}{space 3} .8266905
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .3307712{col 39}{space 2} .2547544{col 50}{space 1}    1.30{col 59}{space 3}0.194{col 67}{space 4}-.1685402{col 80}{space 3} .8300826
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .3220038{col 39}{space 2} .2547168{col 50}{space 1}    1.26{col 59}{space 3}0.206{col 67}{space 4}-.1772339{col 80}{space 3} .8212416
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .3159593{col 39}{space 2} .2547741{col 50}{space 1}    1.24{col 59}{space 3}0.215{col 67}{space 4}-.1833909{col 80}{space 3} .8153095
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .4609888{col 39}{space 2} .3044836{col 50}{space 1}    1.51{col 59}{space 3}0.130{col 67}{space 4}-.1357906{col 80}{space 3} 1.057768
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} -2.91142{col 39}{space 2} 1.604838{col 50}{space 1}   -1.81{col 59}{space 3}0.070{col 67}{space 4}-6.056858{col 80}{space 3} .2340176
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0026997{col 39}{space 2} .0056275{col 50}{space 1}   -0.48{col 59}{space 3}0.631{col 67}{space 4}-.0137294{col 80}{space 3} .0083301
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0042804{col 39}{space 2}   .03574{col 50}{space 1}   -0.12{col 59}{space 3}0.905{col 67}{space 4}-.0743298{col 80}{space 3} .0657689
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0045562{col 39}{space 2} .0071149{col 50}{space 1}   -0.64{col 59}{space 3}0.522{col 67}{space 4}-.0185013{col 80}{space 3} .0093889
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} -.104622{col 39}{space 2} .0513315{col 50}{space 1}   -2.04{col 59}{space 3}0.042{col 67}{space 4}-.2052303{col 80}{space 3}-.0040137
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0060923{col 39}{space 2} .0047841{col 50}{space 1}    1.27{col 59}{space 3}0.203{col 67}{space 4}-.0032844{col 80}{space 3} .0154689
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0108056{col 39}{space 2} .0266432{col 50}{space 1}    0.41{col 59}{space 3}0.685{col 67}{space 4}-.0414144{col 80}{space 3} .0630255
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0185836{col 39}{space 2} .0102893{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0015831{col 80}{space 3} .0387504
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0542138{col 39}{space 2} .0491813{col 50}{space 1}    1.10{col 59}{space 3}0.270{col 67}{space 4}-.0421802{col 80}{space 3} .1506079
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0001741{col 39}{space 2} .0067485{col 50}{space 1}    0.03{col 59}{space 3}0.979{col 67}{space 4}-.0130528{col 80}{space 3} .0134011
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.1084735{col 39}{space 2} .0361568{col 50}{space 1}   -3.00{col 59}{space 3}0.003{col 67}{space 4}-.1793398{col 80}{space 3}-.0376071
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0262121{col 39}{space 2} .0209739{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.0148962{col 80}{space 3} .0673204
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1350345{col 39}{space 2} .1337586{col 50}{space 1}   -1.01{col 59}{space 3}0.313{col 67}{space 4}-.3971978{col 80}{space 3} .1271287
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0017625{col 39}{space 2} .0056958{col 50}{space 1}    0.31{col 59}{space 3}0.757{col 67}{space 4}-.0094012{col 80}{space 3} .0129262
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0402129{col 39}{space 2} .0312205{col 50}{space 1}   -1.29{col 59}{space 3}0.198{col 67}{space 4}-.1014042{col 80}{space 3} .0209784
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0069129{col 39}{space 2} .0079256{col 50}{space 1}    0.87{col 59}{space 3}0.383{col 67}{space 4} -.008621{col 80}{space 3} .0224468
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0148455{col 39}{space 2} .0416967{col 50}{space 1}   -0.36{col 59}{space 3}0.722{col 67}{space 4}-.0965698{col 80}{space 3} .0668788
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0064792{col 39}{space 2}  .016224{col 50}{space 1}    0.40{col 59}{space 3}0.690{col 67}{space 4}-.0253193{col 80}{space 3} .0382777
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1261388{col 39}{space 2} .0980766{col 50}{space 1}   -1.29{col 59}{space 3}0.198{col 67}{space 4}-.3183662{col 80}{space 3} .0660887
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.2198349{col 39}{space 2}  .125113{col 50}{space 1}   -1.76{col 59}{space 3}0.079{col 67}{space 4}-.4650528{col 80}{space 3}  .025383
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}  .129193{col 39}{space 2}  .316957{col 50}{space 1}    0.41{col 59}{space 3}0.684{col 67}{space 4}-.4920339{col 80}{space 3} .7504198
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0019994{col 39}{space 2} .0099205{col 50}{space 1}    0.20{col 59}{space 3}0.840{col 67}{space 4}-.0174444{col 80}{space 3} .0214432
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0070637{col 39}{space 2} .1188568{col 50}{space 1}   -0.06{col 59}{space 3}0.953{col 67}{space 4}-.2400198{col 80}{space 3} .2258923
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0037733{col 39}{space 2} .0082305{col 50}{space 1}   -0.46{col 59}{space 3}0.647{col 67}{space 4}-.0199048{col 80}{space 3} .0123582
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0461326{col 39}{space 2} .0321989{col 50}{space 1}    1.43{col 59}{space 3}0.152{col 67}{space 4}-.0169764{col 80}{space 3} .1092415
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0029246{col 39}{space 2} .0058749{col 50}{space 1}   -0.50{col 59}{space 3}0.619{col 67}{space 4}-.0144393{col 80}{space 3} .0085901
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0145362{col 39}{space 2} .0357004{col 50}{space 1}    0.41{col 59}{space 3}0.684{col 67}{space 4}-.0554355{col 80}{space 3}  .084508
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0067301{col 39}{space 2} .0053216{col 50}{space 1}    1.26{col 59}{space 3}0.206{col 67}{space 4}   -.0037{col 80}{space 3} .0171603
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}  .001341{col 39}{space 2} .0322969{col 50}{space 1}    0.04{col 59}{space 3}0.967{col 67}{space 4}-.0619602{col 80}{space 3} .0646421
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0052442{col 39}{space 2} .0045914{col 50}{space 1}    1.14{col 59}{space 3}0.253{col 67}{space 4}-.0037547{col 80}{space 3} .0142432
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0301885{col 39}{space 2} .0258912{col 50}{space 1}    1.17{col 59}{space 3}0.244{col 67}{space 4}-.0205576{col 80}{space 3} .0809346
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0250277{col 39}{space 2} .0359473{col 50}{space 1}    0.70{col 59}{space 3}0.486{col 67}{space 4}-.0454281{col 80}{space 3} .0954835
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1465728{col 39}{space 2} .0638947{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4}  .021341{col 80}{space 3} .2718046
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0072906{col 39}{space 2} .0211247{col 50}{space 1}    0.35{col 59}{space 3}0.730{col 67}{space 4}-.0341133{col 80}{space 3} .0486945
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1308762{col 39}{space 2} .0989625{col 50}{space 1}    1.32{col 59}{space 3}0.186{col 67}{space 4}-.0630876{col 80}{space 3}   .32484
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0116614{col 39}{space 2} .0177217{col 50}{space 1}    0.66{col 59}{space 3}0.511{col 67}{space 4}-.0230727{col 80}{space 3} .0463955
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} -.143492{col 39}{space 2} .1078934{col 50}{space 1}   -1.33{col 59}{space 3}0.184{col 67}{space 4}-.3549601{col 80}{space 3} .0679761
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2}  .010288{col 39}{space 2} .0125179{col 50}{space 1}    0.82{col 59}{space 3}0.411{col 67}{space 4}-.0142467{col 80}{space 3} .0348227
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} .0339824{col 39}{space 2} .0527326{col 50}{space 1}    0.64{col 59}{space 3}0.519{col 67}{space 4} -.069372{col 80}{space 3} .1373368
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000449{col 39}{space 2} .0000413{col 50}{space 1}    1.09{col 59}{space 3}0.277{col 67}{space 4}-.0000361{col 80}{space 3} .0001259
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.60e-07{col 39}{space 2} 2.63e-07{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} 3.43e-07{col 80}{space 3} 1.38e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2}   .01353{col 39}{space 2} .0011948{col 50}{space 1}   11.32{col 59}{space 3}0.000{col 67}{space 4} .0111882{col 80}{space 3} .0158719
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0011325{col 39}{space 2} .0005166{col 50}{space 1}    2.19{col 59}{space 3}0.028{col 67}{space 4} .0001199{col 80}{space 3} .0021451
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0068074{col 39}{space 2} .0014831{col 50}{space 1}    4.59{col 59}{space 3}0.000{col 67}{space 4} .0039006{col 80}{space 3} .0097143
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000613{col 39}{space 2} .0000206{col 50}{space 1}   -2.98{col 59}{space 3}0.003{col 67}{space 4}-.0001016{col 80}{space 3} -.000021
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.41e-06{col 39}{space 2} 1.57e-07{col 50}{space 1}    8.97{col 59}{space 3}0.000{col 67}{space 4} 1.10e-06{col 80}{space 3} 1.72e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0109092{col 39}{space 2} .0003764{col 50}{space 1}   28.98{col 59}{space 3}0.000{col 67}{space 4} .0101714{col 80}{space 3}  .011647
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0020552{col 39}{space 2} .0001877{col 50}{space 1}   10.95{col 59}{space 3}0.000{col 67}{space 4} .0016874{col 80}{space 3} .0024231
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4387844{col 39}{space 2} .0018648{col 50}{space 1}  235.30{col 59}{space 3}0.000{col 67}{space 4} .4351295{col 80}{space 3} .4424393
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .0473873{col 39}{space 2} .2547016{col 50}{space 1}    0.19{col 59}{space 3}0.852{col 67}{space 4}-.4518208{col 80}{space 3} .5465954
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6001{col 33}{space 1}        0{col 45}{result}{space 1}     6001{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. 
. * IV
. ivreghdfe Voted2022 $main_controls (WP_Voted2018 = WP_Relative_Voted2010)  $insample &  Age2017>25, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}(dropped 1 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}293082{txt}{col 55}Number of obs = {res} 1420358
{txt}{col 55}F( 93,293081) = {res} 1177.42
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 82663.89292{txt}{col 55}Centered R2   = {res}  0.2476
{txt}Total (uncentered) SS   = {res} 82663.89292{txt}{col 55}Uncentered R2 = {res}  0.2476
{txt}Residual SS             = {res} 62193.61305{txt}{col 55}Root MSE      = {res}   .2097

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0753957{col 39}{space 2} .0176189{col 50}{space 1}    4.28{col 59}{space 3}0.000{col 67}{space 4} .0408632{col 80}{space 3} .1099282
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0312524{col 39}{space 2} .0010963{col 50}{space 1}   28.51{col 59}{space 3}0.000{col 67}{space 4} .0291037{col 80}{space 3}  .033401
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2}  .119138{col 39}{space 2} .0010958{col 50}{space 1}  108.72{col 59}{space 3}0.000{col 67}{space 4} .1169902{col 80}{space 3} .1212857
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}   .10187{col 39}{space 2} .0018753{col 50}{space 1}   54.32{col 59}{space 3}0.000{col 67}{space 4} .0981945{col 80}{space 3} .1055455
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .3131666{col 39}{space 2} .2520498{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4} -.180844{col 80}{space 3} .8071772
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .3124059{col 39}{space 2} .2520686{col 50}{space 1}    1.24{col 59}{space 3}0.215{col 67}{space 4}-.1816416{col 80}{space 3} .8064533
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .3034528{col 39}{space 2} .2520373{col 50}{space 1}    1.20{col 59}{space 3}0.229{col 67}{space 4}-.1905333{col 80}{space 3} .7974389
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .2772701{col 39}{space 2} .2521181{col 50}{space 1}    1.10{col 59}{space 3}0.271{col 67}{space 4}-.2168744{col 80}{space 3} .7714145
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2912754{col 39}{space 2} .2520536{col 50}{space 1}    1.16{col 59}{space 3}0.248{col 67}{space 4}-.2027426{col 80}{space 3} .7852934
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .2629294{col 39}{space 2} .2524703{col 50}{space 1}    1.04{col 59}{space 3}0.298{col 67}{space 4}-.2319053{col 80}{space 3} .7577641
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2984214{col 39}{space 2} .2520355{col 50}{space 1}    1.18{col 59}{space 3}0.236{col 67}{space 4}-.1955611{col 80}{space 3} .7924039
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2953688{col 39}{space 2} .2520688{col 50}{space 1}    1.17{col 59}{space 3}0.241{col 67}{space 4}-.1986791{col 80}{space 3} .7894167
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .2648218{col 39}{space 2} .2522881{col 50}{space 1}    1.05{col 59}{space 3}0.294{col 67}{space 4}-.2296558{col 80}{space 3} .7592994
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .5118695{col 39}{space 2} .2712912{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0198537{col 80}{space 3} 1.043593
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .3099097{col 39}{space 2}  .252132{col 50}{space 1}    1.23{col 59}{space 3}0.219{col 67}{space 4} -.184262{col 80}{space 3} .8040813
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .3133412{col 39}{space 2} .2520952{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4}-.1807584{col 80}{space 3} .8074407
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .3113855{col 39}{space 2}  .252055{col 50}{space 1}    1.24{col 59}{space 3}0.217{col 67}{space 4}-.1826353{col 80}{space 3} .8054063
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .3034344{col 39}{space 2} .2520466{col 50}{space 1}    1.20{col 59}{space 3}0.229{col 67}{space 4}-.1905699{col 80}{space 3} .7974386
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2923861{col 39}{space 2}  .252029{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.2015837{col 80}{space 3} .7863559
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2794274{col 39}{space 2} .2535978{col 50}{space 1}    1.10{col 59}{space 3}0.271{col 67}{space 4}-.2176171{col 80}{space 3}  .776472
{txt}{space 22}18  {c |}{col 27}{res}{space 2}  .290502{col 39}{space 2}  .252533{col 50}{space 1}    1.15{col 59}{space 3}0.250{col 67}{space 4}-.2044557{col 80}{space 3} .7854597
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2928235{col 39}{space 2} .2523479{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.2017713{col 80}{space 3} .7874183
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .2739059{col 39}{space 2} .2521849{col 50}{space 1}    1.09{col 59}{space 3}0.277{col 67}{space 4}-.2203695{col 80}{space 3} .7681813
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .3131534{col 39}{space 2} .2521708{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4}-.1810944{col 80}{space 3} .8074012
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .3080508{col 39}{space 2} .2520168{col 50}{space 1}    1.22{col 59}{space 3}0.222{col 67}{space 4} -.185895{col 80}{space 3} .8019966
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .3117961{col 39}{space 2} .2520133{col 50}{space 1}    1.24{col 59}{space 3}0.216{col 67}{space 4} -.182143{col 80}{space 3} .8057353
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .3125787{col 39}{space 2} .2520137{col 50}{space 1}    1.24{col 59}{space 3}0.215{col 67}{space 4} -.181361{col 80}{space 3} .8065185
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .3074818{col 39}{space 2} .2520203{col 50}{space 1}    1.22{col 59}{space 3}0.222{col 67}{space 4} -.186471{col 80}{space 3} .8014346
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .3076275{col 39}{space 2} .2520165{col 50}{space 1}    1.22{col 59}{space 3}0.222{col 67}{space 4}-.1863177{col 80}{space 3} .8015728
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .3018878{col 39}{space 2} .2522766{col 50}{space 1}    1.20{col 59}{space 3}0.231{col 67}{space 4}-.1925672{col 80}{space 3} .7963429
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .3087623{col 39}{space 2} .2520279{col 50}{space 1}    1.23{col 59}{space 3}0.221{col 67}{space 4}-.1852053{col 80}{space 3} .8027299
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2992089{col 39}{space 2} .2520236{col 50}{space 1}    1.19{col 59}{space 3}0.235{col 67}{space 4}-.1947504{col 80}{space 3} .7931682
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2947591{col 39}{space 2} .2521242{col 50}{space 1}    1.17{col 59}{space 3}0.242{col 67}{space 4}-.1993973{col 80}{space 3} .7889156
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .3215631{col 39}{space 2} .2521936{col 50}{space 1}    1.28{col 59}{space 3}0.202{col 67}{space 4}-.1727294{col 80}{space 3} .8158556
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .3111885{col 39}{space 2} .2520162{col 50}{space 1}    1.23{col 59}{space 3}0.217{col 67}{space 4}-.1827562{col 80}{space 3} .8051332
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .3137845{col 39}{space 2}  .252015{col 50}{space 1}    1.25{col 59}{space 3}0.213{col 67}{space 4}-.1801579{col 80}{space 3}  .807727
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .3155261{col 39}{space 2}  .252016{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.1784181{col 80}{space 3} .8094704
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .3140733{col 39}{space 2}  .252015{col 50}{space 1}    1.25{col 59}{space 3}0.213{col 67}{space 4}-.1798691{col 80}{space 3} .8080156
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .3067302{col 39}{space 2} .2520139{col 50}{space 1}    1.22{col 59}{space 3}0.224{col 67}{space 4}  -.18721{col 80}{space 3} .8006703
{txt}{space 22}37  {c |}{col 27}{res}{space 2}  .316233{col 39}{space 2} .2521776{col 50}{space 1}    1.25{col 59}{space 3}0.210{col 67}{space 4}-.1780281{col 80}{space 3}  .810494
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .3183431{col 39}{space 2} .2521075{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4}-.1757805{col 80}{space 3} .8124667
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .3104543{col 39}{space 2} .2520649{col 50}{space 1}    1.23{col 59}{space 3}0.218{col 67}{space 4}-.1835859{col 80}{space 3} .8044944
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .3061421{col 39}{space 2} .2521196{col 50}{space 1}    1.21{col 59}{space 3}0.225{col 67}{space 4}-.1880052{col 80}{space 3} .8002895
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .4469481{col 39}{space 2} .3014801{col 50}{space 1}    1.48{col 59}{space 3}0.138{col 67}{space 4}-.1439445{col 80}{space 3} 1.037841
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} -2.99053{col 39}{space 2} 1.593593{col 50}{space 1}   -1.88{col 59}{space 3}0.061{col 67}{space 4}-6.113928{col 80}{space 3} .1328675
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0029678{col 39}{space 2}  .005669{col 50}{space 1}   -0.52{col 59}{space 3}0.601{col 67}{space 4}-.0140788{col 80}{space 3} .0081432
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0061356{col 39}{space 2} .0357534{col 50}{space 1}   -0.17{col 59}{space 3}0.864{col 67}{space 4}-.0762114{col 80}{space 3} .0639401
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0051388{col 39}{space 2} .0071442{col 50}{space 1}   -0.72{col 59}{space 3}0.472{col 67}{space 4}-.0191412{col 80}{space 3} .0088636
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.1104663{col 39}{space 2}  .051352{col 50}{space 1}   -2.15{col 59}{space 3}0.031{col 67}{space 4}-.2111149{col 80}{space 3}-.0098178
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0058878{col 39}{space 2} .0047916{col 50}{space 1}    1.23{col 59}{space 3}0.219{col 67}{space 4}-.0035036{col 80}{space 3} .0152791
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0092107{col 39}{space 2} .0267232{col 50}{space 1}    0.34{col 59}{space 3}0.730{col 67}{space 4} -.043166{col 80}{space 3} .0615874
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0163776{col 39}{space 2} .0102607{col 50}{space 1}    1.60{col 59}{space 3}0.110{col 67}{space 4}-.0037332{col 80}{space 3} .0364883
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0571633{col 39}{space 2} .0490428{col 50}{space 1}    1.17{col 59}{space 3}0.244{col 67}{space 4}-.0389592{col 80}{space 3} .1532857
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}  -.00297{col 39}{space 2} .0068055{col 50}{space 1}   -0.44{col 59}{space 3}0.663{col 67}{space 4}-.0163086{col 80}{space 3} .0103686
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.1100889{col 39}{space 2} .0360259{col 50}{space 1}   -3.06{col 59}{space 3}0.002{col 67}{space 4}-.1806988{col 80}{space 3}-.0394791
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0222051{col 39}{space 2}   .02094{col 50}{space 1}    1.06{col 59}{space 3}0.289{col 67}{space 4}-.0188368{col 80}{space 3}  .063247
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1328812{col 39}{space 2} .1359107{col 50}{space 1}   -0.98{col 59}{space 3}0.328{col 67}{space 4}-.3992625{col 80}{space 3}    .1335
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0005676{col 39}{space 2} .0057404{col 50}{space 1}   -0.10{col 59}{space 3}0.921{col 67}{space 4}-.0118186{col 80}{space 3} .0106835
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0366507{col 39}{space 2} .0313858{col 50}{space 1}   -1.17{col 59}{space 3}0.243{col 67}{space 4} -.098166{col 80}{space 3} .0248645
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0044032{col 39}{space 2} .0079668{col 50}{space 1}    0.55{col 59}{space 3}0.580{col 67}{space 4}-.0112115{col 80}{space 3}  .020018
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0161153{col 39}{space 2} .0417107{col 50}{space 1}   -0.39{col 59}{space 3}0.699{col 67}{space 4} -.097867{col 80}{space 3} .0656365
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0029547{col 39}{space 2} .0161954{col 50}{space 1}    0.18{col 59}{space 3}0.855{col 67}{space 4}-.0287878{col 80}{space 3} .0346972
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1086417{col 39}{space 2} .1004733{col 50}{space 1}   -1.08{col 59}{space 3}0.280{col 67}{space 4}-.3055666{col 80}{space 3} .0882832
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.2207426{col 39}{space 2} .1252986{col 50}{space 1}   -1.76{col 59}{space 3}0.078{col 67}{space 4}-.4663242{col 80}{space 3} .0248391
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0985318{col 39}{space 2} .3174692{col 50}{space 1}    0.31{col 59}{space 3}0.756{col 67}{space 4}-.5236989{col 80}{space 3} .7207626
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0000559{col 39}{space 2} .0099863{col 50}{space 1}    0.01{col 59}{space 3}0.996{col 67}{space 4}-.0195169{col 80}{space 3} .0196288
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0167151{col 39}{space 2} .1193864{col 50}{space 1}   -0.14{col 59}{space 3}0.889{col 67}{space 4}-.2507091{col 80}{space 3} .2172789
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0044513{col 39}{space 2} .0082365{col 50}{space 1}   -0.54{col 59}{space 3}0.589{col 67}{space 4}-.0205945{col 80}{space 3}  .011692
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0383322{col 39}{space 2} .0325149{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.0253962{col 80}{space 3} .1020605
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0034289{col 39}{space 2} .0058998{col 50}{space 1}   -0.58{col 59}{space 3}0.561{col 67}{space 4}-.0149924{col 80}{space 3} .0081346
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0098808{col 39}{space 2} .0360189{col 50}{space 1}    0.27{col 59}{space 3}0.784{col 67}{space 4}-.0607152{col 80}{space 3} .0804769
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}  .005657{col 39}{space 2} .0053405{col 50}{space 1}    1.06{col 59}{space 3}0.289{col 67}{space 4}-.0048102{col 80}{space 3} .0161242
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}-.0066084{col 39}{space 2} .0324722{col 50}{space 1}   -0.20{col 59}{space 3}0.839{col 67}{space 4}-.0702531{col 80}{space 3} .0570362
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0030837{col 39}{space 2} .0046373{col 50}{space 1}    0.66{col 59}{space 3}0.506{col 67}{space 4}-.0060052{col 80}{space 3} .0121727
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0303884{col 39}{space 2} .0260414{col 50}{space 1}    1.17{col 59}{space 3}0.243{col 67}{space 4}-.0206519{col 80}{space 3} .0814288
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}  .015683{col 39}{space 2}  .035847{col 50}{space 1}    0.44{col 59}{space 3}0.662{col 67}{space 4}-.0545761{col 80}{space 3} .0859422
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1454055{col 39}{space 2} .0681274{col 50}{space 1}    2.13{col 59}{space 3}0.033{col 67}{space 4} .0118777{col 80}{space 3} .2789334
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0054387{col 39}{space 2} .0211908{col 50}{space 1}    0.26{col 59}{space 3}0.797{col 67}{space 4}-.0360948{col 80}{space 3} .0469722
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1197062{col 39}{space 2} .1018155{col 50}{space 1}    1.18{col 59}{space 3}0.240{col 67}{space 4}-.0798494{col 80}{space 3} .3192618
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0115615{col 39}{space 2} .0176788{col 50}{space 1}    0.65{col 59}{space 3}0.513{col 67}{space 4}-.0230885{col 80}{space 3} .0462115
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.1443471{col 39}{space 2} .1070623{col 50}{space 1}   -1.35{col 59}{space 3}0.178{col 67}{space 4}-.3541862{col 80}{space 3}  .065492
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0069326{col 39}{space 2} .0125751{col 50}{space 1}    0.55{col 59}{space 3}0.581{col 67}{space 4}-.0177144{col 80}{space 3} .0315795
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} .0378174{col 39}{space 2} .0540721{col 50}{space 1}    0.70{col 59}{space 3}0.484{col 67}{space 4}-.0681625{col 80}{space 3} .1437973
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} 5.53e-06{col 39}{space 2} .0000428{col 50}{space 1}    0.13{col 59}{space 3}0.897{col 67}{space 4}-.0000784{col 80}{space 3} .0000895
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 7.80e-07{col 39}{space 2} 2.62e-07{col 50}{space 1}    2.98{col 59}{space 3}0.003{col 67}{space 4} 2.67e-07{col 80}{space 3} 1.29e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0130101{col 39}{space 2}  .001211{col 50}{space 1}   10.74{col 59}{space 3}0.000{col 67}{space 4} .0106366{col 80}{space 3} .0153835
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0014336{col 39}{space 2} .0005216{col 50}{space 1}    2.75{col 59}{space 3}0.006{col 67}{space 4} .0004112{col 80}{space 3}  .002456
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0070316{col 39}{space 2} .0014848{col 50}{space 1}    4.74{col 59}{space 3}0.000{col 67}{space 4} .0041213{col 80}{space 3} .0099418
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000728{col 39}{space 2} .0000207{col 50}{space 1}   -3.52{col 59}{space 3}0.000{col 67}{space 4}-.0001134{col 80}{space 3}-.0000322
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.35e-06{col 39}{space 2} 1.52e-07{col 50}{space 1}    8.87{col 59}{space 3}0.000{col 67}{space 4} 1.05e-06{col 80}{space 3} 1.64e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0107377{col 39}{space 2} .0003786{col 50}{space 1}   28.37{col 59}{space 3}0.000{col 67}{space 4} .0099958{col 80}{space 3} .0114797
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0020297{col 39}{space 2} .0001878{col 50}{space 1}   10.81{col 59}{space 3}0.000{col 67}{space 4} .0016615{col 80}{space 3} .0023979
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4377696{col 39}{space 2} .0018806{col 50}{space 1}  232.78{col 59}{space 3}0.000{col 67}{space 4} .4340837{col 80}{space 3} .4414556
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2292.084
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.1e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2343.069
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6001{col 33}{space 1}        0{col 45}{result}{space 1}     6001{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
.  
. 
. 
. *****************************************************************
. *********** TABLE A7 Binary instrument  *********
. *****************************************************************
. 
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. 
. *Binary treatment and instrument 
. g WP_Voted2018_b = .
{txt}(2,083,950 missing values generated)

{com}. g WP_Relative_Voted2010_b=.
{txt}(2,083,950 missing values generated)

{com}. replace WP_Voted2018_b = 1 if WP_Voted2018==1
{txt}(1,105,766 real changes made)

{com}. replace WP_Voted2018_b = 0 if WP_Voted2018<1
{txt}(978,184 real changes made)

{com}. 
. quietly reghdfe  WP_Relative_Voted2010  $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(WP_Relative_Voted2010_res)
{txt}
{com}. xtile  WP_Relative_Voted2010_br =  WP_Relative_Voted2010_res $insample, n(2)
{txt}
{com}. replace WP_Relative_Voted2010_br = WP_Relative_Voted2010_br -1 
{txt}(1,585,336 real changes made)

{com}. 
. *   OLS
. reghdfe Voted2022 WP_Voted2018_b $OLS_main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  92{txt},{res} 298639{txt}){col 67}= {res}   1293.61
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2414
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2385
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2270
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.2205

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}WP_Voted2018_b {c |}{col 27}{res}{space 2} .0061702{col 39}{space 2} .0004436{col 50}{space 1}   13.91{col 59}{space 3}0.000{col 67}{space 4} .0053007{col 80}{space 3} .0070396
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1249603{col 39}{space 2} .0010688{col 50}{space 1}  116.91{col 59}{space 3}0.000{col 67}{space 4} .1228654{col 80}{space 3} .1270551
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1044434{col 39}{space 2} .0012894{col 50}{space 1}   81.00{col 59}{space 3}0.000{col 67}{space 4} .1019162{col 80}{space 3} .1069707
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .2327071{col 39}{space 2} .1117182{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0137427{col 80}{space 3} .4516716
{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .229001{col 39}{space 2} .1117675{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0099398{col 80}{space 3} .4480621
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2238004{col 39}{space 2} .1116904{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0048903{col 80}{space 3} .4427105
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1926708{col 39}{space 2} .1118726{col 50}{space 1}    1.72{col 59}{space 3}0.085{col 67}{space 4}-.0265963{col 80}{space 3} .4119379
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2044745{col 39}{space 2} .1117268{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.0145068{col 80}{space 3} .4234559
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1673112{col 39}{space 2} .1126683{col 50}{space 1}    1.48{col 59}{space 3}0.138{col 67}{space 4}-.0535156{col 80}{space 3}  .388138
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2134431{col 39}{space 2} .1116997{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0054852{col 80}{space 3} .4323714
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2118476{col 39}{space 2} .1117614{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0072016{col 80}{space 3} .4308968
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1755002{col 39}{space 2} .1121482{col 50}{space 1}    1.56{col 59}{space 3}0.118{col 67}{space 4}-.0443071{col 80}{space 3} .3953074
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3747675{col 39}{space 2} .1541402{col 50}{space 1}    2.43{col 59}{space 3}0.015{col 67}{space 4} .0726571{col 80}{space 3} .6768779
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2317935{col 39}{space 2} .1118974{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0124778{col 80}{space 3} .4511093
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2385808{col 39}{space 2} .1118077{col 50}{space 1}    2.13{col 59}{space 3}0.033{col 67}{space 4} .0194408{col 80}{space 3} .4577207
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2339399{col 39}{space 2} .1117227{col 50}{space 1}    2.09{col 59}{space 3}0.036{col 67}{space 4} .0149666{col 80}{space 3} .4529132
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2260866{col 39}{space 2} .1117078{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0071424{col 80}{space 3} .4450309
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2103826{col 39}{space 2} .1116758{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0084988{col 80}{space 3} .4292639
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2079003{col 39}{space 2} .1142505{col 50}{space 1}    1.82{col 59}{space 3}0.069{col 67}{space 4}-.0160275{col 80}{space 3} .4318281
{txt}{space 22}18  {c |}{col 27}{res}{space 2}  .205644{col 39}{space 2} .1126768{col 50}{space 1}    1.83{col 59}{space 3}0.068{col 67}{space 4}-.0151994{col 80}{space 3} .4264875
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2094502{col 39}{space 2} .1123521{col 50}{space 1}    1.86{col 59}{space 3}0.062{col 67}{space 4}-.0107568{col 80}{space 3} .4296572
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1872714{col 39}{space 2} .1119597{col 50}{space 1}    1.67{col 59}{space 3}0.094{col 67}{space 4}-.0321664{col 80}{space 3} .4067093
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2353113{col 39}{space 2} .1122336{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0153366{col 80}{space 3} .4552861
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2318149{col 39}{space 2} .1116379{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0130077{col 80}{space 3} .4506221
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2369594{col 39}{space 2} .1116327{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0181624{col 80}{space 3} .4557565
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2373587{col 39}{space 2} .1116339{col 50}{space 1}    2.13{col 59}{space 3}0.033{col 67}{space 4} .0185594{col 80}{space 3}  .456158
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{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2170224{col 39}{space 2} .1118782{col 50}{space 1}    1.94{col 59}{space 3}0.052{col 67}{space 4}-.0022558{col 80}{space 3} .4363006
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2473651{col 39}{space 2} .1122107{col 50}{space 1}    2.20{col 59}{space 3}0.027{col 67}{space 4} .0274353{col 80}{space 3}  .467295
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{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2410252{col 39}{space 2} .1116354{col 50}{space 1}    2.16{col 59}{space 3}0.031{col 67}{space 4}  .022223{col 80}{space 3} .4598274
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{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2404794{col 39}{space 2} .1118385{col 50}{space 1}    2.15{col 59}{space 3}0.032{col 67}{space 4} .0212791{col 80}{space 3} .4596797
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2328493{col 39}{space 2}  .111756{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0138108{col 80}{space 3} .4518879
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2388992{col 39}{space 2} .1117907{col 50}{space 1}    2.14{col 59}{space 3}0.033{col 67}{space 4} .0197925{col 80}{space 3} .4580058
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  .326976{col 39}{space 2} .1372768{col 50}{space 1}    2.38{col 59}{space 3}0.017{col 67}{space 4} .0579173{col 80}{space 3} .5960346
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}  -2.3363{col 39}{space 2} 1.361651{col 50}{space 1}   -1.72{col 59}{space 3}0.086{col 67}{space 4}-5.005098{col 80}{space 3} .3324976
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0020848{col 39}{space 2} .0056744{col 50}{space 1}   -0.37{col 59}{space 3}0.713{col 67}{space 4}-.0132065{col 80}{space 3} .0090369
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0028427{col 39}{space 2} .0348989{col 50}{space 1}   -0.08{col 59}{space 3}0.935{col 67}{space 4}-.0712435{col 80}{space 3} .0655581
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0015682{col 39}{space 2} .0071878{col 50}{space 1}   -0.22{col 59}{space 3}0.827{col 67}{space 4}-.0156562{col 80}{space 3} .0125198
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0814786{col 39}{space 2} .0468616{col 50}{space 1}   -1.74{col 59}{space 3}0.082{col 67}{space 4} -.173326{col 80}{space 3} .0103689
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0029353{col 39}{space 2} .0048467{col 50}{space 1}    0.61{col 59}{space 3}0.545{col 67}{space 4}-.0065642{col 80}{space 3} .0124347
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0163711{col 39}{space 2} .0259058{col 50}{space 1}    0.63{col 59}{space 3}0.527{col 67}{space 4}-.0344035{col 80}{space 3} .0671457
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0138147{col 39}{space 2} .0098884{col 50}{space 1}    1.40{col 59}{space 3}0.162{col 67}{space 4}-.0055664{col 80}{space 3} .0331958
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0318051{col 39}{space 2} .0447192{col 50}{space 1}    0.71{col 59}{space 3}0.477{col 67}{space 4}-.0558432{col 80}{space 3} .1194534
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0023112{col 39}{space 2} .0062635{col 50}{space 1}   -0.37{col 59}{space 3}0.712{col 67}{space 4}-.0145875{col 80}{space 3} .0099651
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0943434{col 39}{space 2} .0325334{col 50}{space 1}   -2.90{col 59}{space 3}0.004{col 67}{space 4}-.1581079{col 80}{space 3}-.0305789
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}  .036026{col 39}{space 2} .0205754{col 50}{space 1}    1.75{col 59}{space 3}0.080{col 67}{space 4}-.0043012{col 80}{space 3} .0763531
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1649596{col 39}{space 2} .1423668{col 50}{space 1}   -1.16{col 59}{space 3}0.247{col 67}{space 4}-.4439946{col 80}{space 3} .1140753
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0015614{col 39}{space 2} .0054099{col 50}{space 1}    0.29{col 59}{space 3}0.773{col 67}{space 4} -.009042{col 80}{space 3} .0121647
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0406985{col 39}{space 2} .0303921{col 50}{space 1}   -1.34{col 59}{space 3}0.181{col 67}{space 4}-.1002662{col 80}{space 3} .0188693
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}  .002698{col 39}{space 2} .0075345{col 50}{space 1}    0.36{col 59}{space 3}0.720{col 67}{space 4}-.0120694{col 80}{space 3} .0174653
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0188141{col 39}{space 2} .0407524{col 50}{space 1}   -0.46{col 59}{space 3}0.644{col 67}{space 4}-.0986876{col 80}{space 3} .0610594
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0024431{col 39}{space 2} .0145537{col 50}{space 1}    0.17{col 59}{space 3}0.867{col 67}{space 4}-.0260818{col 80}{space 3} .0309679
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0402581{col 39}{space 2} .0867094{col 50}{space 1}   -0.46{col 59}{space 3}0.642{col 67}{space 4}-.2102061{col 80}{space 3} .1296899
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1235617{col 39}{space 2} .1272816{col 50}{space 1}   -0.97{col 59}{space 3}0.332{col 67}{space 4}-.3730301{col 80}{space 3} .1259067
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0548282{col 39}{space 2} .2239978{col 50}{space 1}    0.24{col 59}{space 3}0.807{col 67}{space 4}-.3842011{col 80}{space 3} .4938575
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0000689{col 39}{space 2} .0099147{col 50}{space 1}   -0.01{col 59}{space 3}0.994{col 67}{space 4}-.0195015{col 80}{space 3} .0193636
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0182796{col 39}{space 2} .1178579{col 50}{space 1}   -0.16{col 59}{space 3}0.877{col 67}{space 4}-.2492778{col 80}{space 3} .2127185
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0076357{col 39}{space 2} .0080096{col 50}{space 1}   -0.95{col 59}{space 3}0.340{col 67}{space 4}-.0233343{col 80}{space 3}  .008063
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0351565{col 39}{space 2} .0306336{col 50}{space 1}    1.15{col 59}{space 3}0.251{col 67}{space 4}-.0248844{col 80}{space 3} .0951974
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0029795{col 39}{space 2} .0057704{col 50}{space 1}   -0.52{col 59}{space 3}0.606{col 67}{space 4}-.0142894{col 80}{space 3} .0083304
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} -.002145{col 39}{space 2} .0370924{col 50}{space 1}   -0.06{col 59}{space 3}0.954{col 67}{space 4}-.0748451{col 80}{space 3}  .070555
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0044392{col 39}{space 2} .0053621{col 50}{space 1}    0.83{col 59}{space 3}0.408{col 67}{space 4}-.0060704{col 80}{space 3} .0149489
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0066192{col 39}{space 2} .0309647{col 50}{space 1}    0.21{col 59}{space 3}0.831{col 67}{space 4}-.0540708{col 80}{space 3} .0673092
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0073805{col 39}{space 2} .0042651{col 50}{space 1}    1.73{col 59}{space 3}0.084{col 67}{space 4}-.0009791{col 80}{space 3}   .01574
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0186115{col 39}{space 2} .0231997{col 50}{space 1}    0.80{col 59}{space 3}0.422{col 67}{space 4}-.0268592{col 80}{space 3} .0640822
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0030374{col 39}{space 2} .0309151{col 50}{space 1}    0.10{col 59}{space 3}0.922{col 67}{space 4}-.0575553{col 80}{space 3} .0636301
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1387372{col 39}{space 2} .0608963{col 50}{space 1}    2.28{col 59}{space 3}0.023{col 67}{space 4} .0193821{col 80}{space 3} .2580922
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0133113{col 39}{space 2} .0200041{col 50}{space 1}    0.67{col 59}{space 3}0.506{col 67}{space 4}-.0258961{col 80}{space 3} .0525187
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1057147{col 39}{space 2} .0894195{col 50}{space 1}    1.18{col 59}{space 3}0.237{col 67}{space 4}-.0695451{col 80}{space 3} .2809745
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0143755{col 39}{space 2} .0169874{col 50}{space 1}    0.85{col 59}{space 3}0.397{col 67}{space 4}-.0189192{col 80}{space 3} .0476703
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0534726{col 39}{space 2} .1009548{col 50}{space 1}   -0.53{col 59}{space 3}0.596{col 67}{space 4}-.2513411{col 80}{space 3}  .144396
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0187402{col 39}{space 2} .0111818{col 50}{space 1}    1.68{col 59}{space 3}0.094{col 67}{space 4}-.0031758{col 80}{space 3} .0406561
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0184689{col 39}{space 2} .0569007{col 50}{space 1}   -0.32{col 59}{space 3}0.745{col 67}{space 4}-.1299927{col 80}{space 3} .0930549
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000583{col 39}{space 2} .0000407{col 50}{space 1}    1.43{col 59}{space 3}0.153{col 67}{space 4}-.0000216{col 80}{space 3} .0001381
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.25e-07{col 39}{space 2} 2.77e-07{col 50}{space 1}    3.34{col 59}{space 3}0.001{col 67}{space 4} 3.82e-07{col 80}{space 3} 1.47e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0151653{col 39}{space 2} .0011908{col 50}{space 1}   12.74{col 59}{space 3}0.000{col 67}{space 4} .0128313{col 80}{space 3} .0174993
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0000716{col 39}{space 2} .0005138{col 50}{space 1}    0.14{col 59}{space 3}0.889{col 67}{space 4}-.0009355{col 80}{space 3} .0010787
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0128155{col 39}{space 2} .0014847{col 50}{space 1}    8.63{col 59}{space 3}0.000{col 67}{space 4} .0099057{col 80}{space 3} .0157254
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000595{col 39}{space 2} .0000198{col 50}{space 1}   -3.01{col 59}{space 3}0.003{col 67}{space 4}-.0000983{col 80}{space 3}-.0000208
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.69e-06{col 39}{space 2} 1.82e-07{col 50}{space 1}    9.32{col 59}{space 3}0.000{col 67}{space 4} 1.34e-06{col 80}{space 3} 2.05e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0117866{col 39}{space 2} .0003787{col 50}{space 1}   31.12{col 59}{space 3}0.000{col 67}{space 4} .0110443{col 80}{space 3} .0125289
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010653{col 39}{space 2} .0001879{col 50}{space 1}    5.67{col 59}{space 3}0.000{col 67}{space 4}  .000697{col 80}{space 3} .0014335
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}  .419263{col 39}{space 2} .0016812{col 50}{space 1}  249.38{col 59}{space 3}0.000{col 67}{space 4} .4159679{col 80}{space 3} .4225581
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1751494{col 39}{space 2} .1116484{col 50}{space 1}    1.57{col 59}{space 3}0.117{col 67}{space 4}-.0436784{col 80}{space 3} .3939772
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. * first stage
. reghdfe WP_Voted2018  WP_Relative_Voted2010_br  $main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 298639{txt}){col 67}= {res}    472.12
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1105
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1070
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0900
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.1287

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}WP_Relative_Voted2010_br {c |}{col 27}{res}{space 2} .0165557{col 39}{space 2} .0003468{col 50}{space 1}   47.74{col 59}{space 3}0.000{col 67}{space 4}  .015876{col 80}{space 3} .0172354
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0053845{col 39}{space 2} .0005804{col 50}{space 1}    9.28{col 59}{space 3}0.000{col 67}{space 4}  .004247{col 80}{space 3}  .006522
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0066201{col 39}{space 2} .0004689{col 50}{space 1}   14.12{col 59}{space 3}0.000{col 67}{space 4} .0057011{col 80}{space 3} .0075392
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .002327{col 39}{space 2} .0006437{col 50}{space 1}    3.62{col 59}{space 3}0.000{col 67}{space 4} .0010654{col 80}{space 3} .0035886
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .1109964{col 39}{space 2}  .080022{col 50}{space 1}    1.39{col 59}{space 3}0.165{col 67}{space 4}-.0458445{col 80}{space 3} .2678372
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .1007676{col 39}{space 2} .0800894{col 50}{space 1}    1.26{col 59}{space 3}0.208{col 67}{space 4}-.0562054{col 80}{space 3} .2577405
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .0936012{col 39}{space 2} .0799717{col 50}{space 1}    1.17{col 59}{space 3}0.242{col 67}{space 4}-.0631411{col 80}{space 3} .2503435
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .0233411{col 39}{space 2} .0802983{col 50}{space 1}    0.29{col 59}{space 3}0.771{col 67}{space 4}-.1340414{col 80}{space 3} .1807236
{txt}{space 23}6  {c |}{col 27}{res}{space 2}  .017765{col 39}{space 2} .0800415{col 50}{space 1}    0.22{col 59}{space 3}0.824{col 67}{space 4}-.1391142{col 80}{space 3} .1746441
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0055167{col 39}{space 2} .0817001{col 50}{space 1}   -0.07{col 59}{space 3}0.946{col 67}{space 4}-.1656465{col 80}{space 3} .1546131
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .0309003{col 39}{space 2} .0800178{col 50}{space 1}    0.39{col 59}{space 3}0.699{col 67}{space 4}-.1259324{col 80}{space 3} .1877329
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .0110229{col 39}{space 2} .0801339{col 50}{space 1}    0.14{col 59}{space 3}0.891{col 67}{space 4}-.1460374{col 80}{space 3} .1680831
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.0451451{col 39}{space 2} .0807705{col 50}{space 1}   -0.56{col 59}{space 3}0.576{col 67}{space 4} -.203453{col 80}{space 3} .1131627
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .0618858{col 39}{space 2} .1238425{col 50}{space 1}    0.50{col 59}{space 3}0.617{col 67}{space 4}-.1808421{col 80}{space 3} .3046137
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .0966216{col 39}{space 2} .0803753{col 50}{space 1}    1.20{col 59}{space 3}0.229{col 67}{space 4}-.0609117{col 80}{space 3} .2541548
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .1062107{col 39}{space 2} .0800895{col 50}{space 1}    1.33{col 59}{space 3}0.185{col 67}{space 4}-.0507625{col 80}{space 3} .2631839
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .1041907{col 39}{space 2}  .080023{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4} -.052652{col 80}{space 3} .2610335
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .0941561{col 39}{space 2} .0799963{col 50}{space 1}    1.18{col 59}{space 3}0.239{col 67}{space 4}-.0626345{col 80}{space 3} .2509467
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{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .1393787{col 39}{space 2} .0953345{col 50}{space 1}    1.46{col 59}{space 3}0.144{col 67}{space 4}-.0474742{col 80}{space 3} .3262317
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}  .973462{col 39}{space 2} .8561005{col 50}{space 1}    1.14{col 59}{space 3}0.256{col 67}{space 4} -.704471{col 80}{space 3} 2.651395
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0085254{col 39}{space 2} .0058708{col 50}{space 1}    1.45{col 59}{space 3}0.146{col 67}{space 4}-.0029812{col 80}{space 3}  .020032
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0149521{col 39}{space 2} .0243358{col 50}{space 1}    0.61{col 59}{space 3}0.539{col 67}{space 4}-.0327453{col 80}{space 3} .0626496
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2} .0112238{col 39}{space 2} .0072162{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4}-.0029197{col 80}{space 3} .0253673
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0577224{col 39}{space 2} .0277432{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0033465{col 80}{space 3} .1120984
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0095197{col 39}{space 2}  .004747{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0002157{col 80}{space 3} .0188236
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0017007{col 39}{space 2} .0248873{col 50}{space 1}    0.07{col 59}{space 3}0.946{col 67}{space 4}-.0470778{col 80}{space 3} .0504792
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0408776{col 39}{space 2} .0106467{col 50}{space 1}    3.84{col 59}{space 3}0.000{col 67}{space 4} .0200105{col 80}{space 3} .0617448
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0620449{col 39}{space 2} .0606579{col 50}{space 1}   -1.02{col 59}{space 3}0.306{col 67}{space 4}-.1809327{col 80}{space 3} .0568428
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0500727{col 39}{space 2} .0064515{col 50}{space 1}    7.76{col 59}{space 3}0.000{col 67}{space 4}  .037428{col 80}{space 3} .0627175
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0010453{col 39}{space 2} .0314031{col 50}{space 1}   -0.03{col 59}{space 3}0.973{col 67}{space 4}-.0625946{col 80}{space 3} .0605039
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0487009{col 39}{space 2} .0225405{col 50}{space 1}    2.16{col 59}{space 3}0.031{col 67}{space 4} .0045222{col 80}{space 3} .0928796
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.0074615{col 39}{space 2} .1211912{col 50}{space 1}   -0.06{col 59}{space 3}0.951{col 67}{space 4} -.244993{col 80}{space 3} .2300699
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0366308{col 39}{space 2} .0061408{col 50}{space 1}    5.97{col 59}{space 3}0.000{col 67}{space 4} .0245951{col 80}{space 3} .0486666
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.1046245{col 39}{space 2} .0378815{col 50}{space 1}   -2.76{col 59}{space 3}0.006{col 67}{space 4}-.1788713{col 80}{space 3}-.0303778
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0414353{col 39}{space 2} .0085914{col 50}{space 1}    4.82{col 59}{space 3}0.000{col 67}{space 4} .0245964{col 80}{space 3} .0582741
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0103407{col 39}{space 2}  .044736{col 50}{space 1}   -0.23{col 59}{space 3}0.817{col 67}{space 4}-.0980221{col 80}{space 3} .0773406
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0601145{col 39}{space 2} .0158073{col 50}{space 1}    3.80{col 59}{space 3}0.000{col 67}{space 4} .0291326{col 80}{space 3} .0910964
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1853922{col 39}{space 2} .0892866{col 50}{space 1}   -2.08{col 59}{space 3}0.038{col 67}{space 4}-.3603914{col 80}{space 3} -.010393
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0849349{col 39}{space 2} .1056414{col 50}{space 1}    0.80{col 59}{space 3}0.421{col 67}{space 4}-.1221192{col 80}{space 3}  .291989
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .4646939{col 39}{space 2} .2114505{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .0502569{col 80}{space 3}  .879131
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0301689{col 39}{space 2} .0107548{col 50}{space 1}    2.81{col 59}{space 3}0.005{col 67}{space 4} .0090898{col 80}{space 3} .0512481
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} .0641863{col 39}{space 2} .0380528{col 50}{space 1}    1.69{col 59}{space 3}0.092{col 67}{space 4}-.0103961{col 80}{space 3} .1387687
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0173075{col 39}{space 2} .0071268{col 50}{space 1}    2.43{col 59}{space 3}0.015{col 67}{space 4} .0033392{col 80}{space 3} .0312758
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0747665{col 39}{space 2} .0259626{col 50}{space 1}    2.88{col 59}{space 3}0.004{col 67}{space 4} .0238805{col 80}{space 3} .1256524
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0159122{col 39}{space 2} .0058091{col 50}{space 1}    2.74{col 59}{space 3}0.006{col 67}{space 4} .0045265{col 80}{space 3} .0272979
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0278269{col 39}{space 2} .0395051{col 50}{space 1}    0.70{col 59}{space 3}0.481{col 67}{space 4}-.0496019{col 80}{space 3} .1052558
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0210206{col 39}{space 2} .0053325{col 50}{space 1}    3.94{col 59}{space 3}0.000{col 67}{space 4}  .010569{col 80}{space 3} .0314722
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0778716{col 39}{space 2} .0218783{col 50}{space 1}    3.56{col 59}{space 3}0.000{col 67}{space 4} .0349907{col 80}{space 3} .1207526
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0374309{col 39}{space 2} .0042573{col 50}{space 1}    8.79{col 59}{space 3}0.000{col 67}{space 4} .0290868{col 80}{space 3}  .045775
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0208188{col 39}{space 2} .0245541{col 50}{space 1}   -0.85{col 59}{space 3}0.397{col 67}{space 4}-.0689441{col 80}{space 3} .0273066
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .1031192{col 39}{space 2} .0359026{col 50}{space 1}    2.87{col 59}{space 3}0.004{col 67}{space 4} .0327512{col 80}{space 3} .1734873
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .0360477{col 39}{space 2}  .187175{col 50}{space 1}    0.19{col 59}{space 3}0.847{col 67}{space 4}  -.33081{col 80}{space 3} .4029054
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0211009{col 39}{space 2}  .020677{col 50}{space 1}    1.02{col 59}{space 3}0.307{col 67}{space 4}-.0194255{col 80}{space 3} .0616273
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0419389{col 39}{space 2} .1178762{col 50}{space 1}    0.36{col 59}{space 3}0.722{col 67}{space 4}-.1890952{col 80}{space 3}  .272973
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0085616{col 39}{space 2} .0172941{col 50}{space 1}   -0.50{col 59}{space 3}0.621{col 67}{space 4}-.0424575{col 80}{space 3} .0253343
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0912192{col 39}{space 2} .1020636{col 50}{space 1}   -0.89{col 59}{space 3}0.371{col 67}{space 4} -.291261{col 80}{space 3} .1088225
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0572989{col 39}{space 2} .0120038{col 50}{space 1}    4.77{col 59}{space 3}0.000{col 67}{space 4} .0337719{col 80}{space 3}  .080826
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0807115{col 39}{space 2}  .075172{col 50}{space 1}   -1.07{col 59}{space 3}0.283{col 67}{space 4}-.2280465{col 80}{space 3} .0666236
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0008114{col 39}{space 2} .0000384{col 50}{space 1}   21.15{col 59}{space 3}0.000{col 67}{space 4} .0007362{col 80}{space 3} .0008866
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 2.41e-06{col 39}{space 2} 2.23e-07{col 50}{space 1}   10.78{col 59}{space 3}0.000{col 67}{space 4} 1.97e-06{col 80}{space 3} 2.84e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2}  .015962{col 39}{space 2} .0011469{col 50}{space 1}   13.92{col 59}{space 3}0.000{col 67}{space 4}  .013714{col 80}{space 3} .0182099
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0032727{col 39}{space 2} .0004834{col 50}{space 1}   -6.77{col 59}{space 3}0.000{col 67}{space 4}  -.00422{col 80}{space 3}-.0023253
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} -.000462{col 39}{space 2} .0014961{col 50}{space 1}   -0.31{col 59}{space 3}0.757{col 67}{space 4}-.0033943{col 80}{space 3} .0024703
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0001778{col 39}{space 2} .0000129{col 50}{space 1}   13.83{col 59}{space 3}0.000{col 67}{space 4} .0001526{col 80}{space 3}  .000203
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 9.91e-07{col 39}{space 2} 1.04e-07{col 50}{space 1}    9.52{col 59}{space 3}0.000{col 67}{space 4} 7.87e-07{col 80}{space 3} 1.19e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0024769{col 39}{space 2} .0002387{col 50}{space 1}   10.38{col 59}{space 3}0.000{col 67}{space 4} .0020091{col 80}{space 3} .0029448
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0001734{col 39}{space 2} .0001115{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4} -.000045{col 80}{space 3} .0003919
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0152195{col 39}{space 2} .0008748{col 50}{space 1}   17.40{col 59}{space 3}0.000{col 67}{space 4}  .013505{col 80}{space 3}  .016934
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .766868{col 39}{space 2}  .079915{col 50}{space 1}    9.60{col 59}{space 3}0.000{col 67}{space 4} .6102369{col 80}{space 3} .9234992
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. *reduced form
. reghdfe Voted2022 WP_Relative_Voted2010_br $main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 298639{txt}){col 67}= {res}   1290.15
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2421
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2392
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2277
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.2204

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}WP_Relative_Voted2010_br {c |}{col 27}{res}{space 2} .0021079{col 39}{space 2} .0003624{col 50}{space 1}    5.82{col 59}{space 3}0.000{col 67}{space 4} .0013977{col 80}{space 3} .0028182
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2}  .035856{col 39}{space 2} .0010722{col 50}{space 1}   33.44{col 59}{space 3}0.000{col 67}{space 4} .0337545{col 80}{space 3} .0379575
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1230276{col 39}{space 2}  .001069{col 50}{space 1}  115.08{col 59}{space 3}0.000{col 67}{space 4} .1209323{col 80}{space 3} .1251229
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1028038{col 39}{space 2} .0012895{col 50}{space 1}   79.72{col 59}{space 3}0.000{col 67}{space 4} .1002764{col 80}{space 3} .1053311
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .2329599{col 39}{space 2} .1098002{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0177546{col 80}{space 3} .4481651
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2286641{col 39}{space 2} .1098509{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0133594{col 80}{space 3} .4439688
{txt}{space 23}4  {c |}{col 27}{res}{space 2}   .22328{col 39}{space 2} .1097723{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0081294{col 80}{space 3} .4384306
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{txt}{space 23}6  {c |}{col 27}{res}{space 2}   .20359{col 39}{space 2} .1098095{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0116335{col 80}{space 3} .4188136
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{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3259006{col 39}{space 2} .1347931{col 50}{space 1}    2.42{col 59}{space 3}0.016{col 67}{space 4} .0617099{col 80}{space 3} .5900914
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{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0020753{col 39}{space 2} .0353628{col 50}{space 1}   -0.06{col 59}{space 3}0.953{col 67}{space 4}-.0713854{col 80}{space 3} .0672348
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0016642{col 39}{space 2} .0071903{col 50}{space 1}   -0.23{col 59}{space 3}0.817{col 67}{space 4} -.015757{col 80}{space 3} .0124285
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} -.079836{col 39}{space 2} .0469517{col 50}{space 1}   -1.70{col 59}{space 3}0.089{col 67}{space 4}-.1718601{col 80}{space 3} .0121881
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0027111{col 39}{space 2} .0048436{col 50}{space 1}    0.56{col 59}{space 3}0.576{col 67}{space 4}-.0067823{col 80}{space 3} .0122045
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0166864{col 39}{space 2} .0257822{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0338461{col 80}{space 3} .0672189
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0146425{col 39}{space 2} .0099109{col 50}{space 1}    1.48{col 59}{space 3}0.140{col 67}{space 4}-.0047825{col 80}{space 3} .0340675
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0339102{col 39}{space 2} .0445652{col 50}{space 1}    0.76{col 59}{space 3}0.447{col 67}{space 4}-.0534363{col 80}{space 3} .1212567
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0023647{col 39}{space 2} .0062556{col 50}{space 1}   -0.38{col 59}{space 3}0.705{col 67}{space 4}-.0146255{col 80}{space 3}  .009896
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0933447{col 39}{space 2} .0324903{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-.1570248{col 80}{space 3}-.0296646
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0367268{col 39}{space 2} .0205269{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0035054{col 80}{space 3}  .076959
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1688735{col 39}{space 2} .1417921{col 50}{space 1}   -1.19{col 59}{space 3}0.234{col 67}{space 4} -.446782{col 80}{space 3} .1090351
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0015912{col 39}{space 2} .0054034{col 50}{space 1}    0.29{col 59}{space 3}0.768{col 67}{space 4}-.0089993{col 80}{space 3} .0121817
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{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0030597{col 39}{space 2} .0075418{col 50}{space 1}    0.41{col 59}{space 3}0.685{col 67}{space 4} -.011722{col 80}{space 3} .0178414
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}  -.01992{col 39}{space 2} .0408551{col 50}{space 1}   -0.49{col 59}{space 3}0.626{col 67}{space 4}-.0999949{col 80}{space 3} .0601549
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0033889{col 39}{space 2} .0145592{col 50}{space 1}    0.23{col 59}{space 3}0.816{col 67}{space 4}-.0251468{col 80}{space 3} .0319245
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0394917{col 39}{space 2} .0865019{col 50}{space 1}   -0.46{col 59}{space 3}0.648{col 67}{space 4} -.209033{col 80}{space 3} .1300495
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1264231{col 39}{space 2} .1259589{col 50}{space 1}   -1.00{col 59}{space 3}0.316{col 67}{space 4}-.3732989{col 80}{space 3} .1204527
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1467088{col 39}{space 2} .2271431{col 50}{space 1}    0.65{col 59}{space 3}0.518{col 67}{space 4}-.2984852{col 80}{space 3} .5919029
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0005777{col 39}{space 2} .0099456{col 50}{space 1}    0.06{col 59}{space 3}0.954{col 67}{space 4}-.0189153{col 80}{space 3} .0200707
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} -.015905{col 39}{space 2} .1144677{col 50}{space 1}   -0.14{col 59}{space 3}0.889{col 67}{space 4}-.2402585{col 80}{space 3} .2084485
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0072655{col 39}{space 2} .0080187{col 50}{space 1}   -0.91{col 59}{space 3}0.365{col 67}{space 4}-.0229819{col 80}{space 3} .0084509
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0333729{col 39}{space 2} .0305223{col 50}{space 1}    1.09{col 59}{space 3}0.274{col 67}{space 4}  -.02645{col 80}{space 3} .0931957
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0031018{col 39}{space 2} .0057626{col 50}{space 1}   -0.54{col 59}{space 3}0.590{col 67}{space 4}-.0143964{col 80}{space 3} .0081928
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0032837{col 39}{space 2} .0372467{col 50}{space 1}   -0.09{col 59}{space 3}0.930{col 67}{space 4}-.0762861{col 80}{space 3} .0697188
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}   .00488{col 39}{space 2} .0053556{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.0056169{col 80}{space 3} .0153769
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0090979{col 39}{space 2}  .030762{col 50}{space 1}    0.30{col 59}{space 3}0.767{col 67}{space 4}-.0511947{col 80}{space 3} .0693904
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0082832{col 39}{space 2} .0042639{col 50}{space 1}    1.94{col 59}{space 3}0.052{col 67}{space 4} -.000074{col 80}{space 3} .0166404
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0185866{col 39}{space 2} .0232257{col 50}{space 1}    0.80{col 59}{space 3}0.424{col 67}{space 4}-.0269352{col 80}{space 3} .0641083
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0039591{col 39}{space 2} .0310128{col 50}{space 1}    0.13{col 59}{space 3}0.898{col 67}{space 4}-.0568251{col 80}{space 3} .0647434
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1399289{col 39}{space 2} .0617676{col 50}{space 1}    2.27{col 59}{space 3}0.023{col 67}{space 4} .0188661{col 80}{space 3} .2609916
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0137942{col 39}{space 2}   .01994{col 50}{space 1}    0.69{col 59}{space 3}0.489{col 67}{space 4}-.0252876{col 80}{space 3}  .052876
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1085138{col 39}{space 2}  .089219{col 50}{space 1}    1.22{col 59}{space 3}0.224{col 67}{space 4} -.066353{col 80}{space 3} .2833806
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0147242{col 39}{space 2} .0169815{col 50}{space 1}    0.87{col 59}{space 3}0.386{col 67}{space 4}-.0185591{col 80}{space 3} .0480075
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0533732{col 39}{space 2} .1007271{col 50}{space 1}   -0.53{col 59}{space 3}0.596{col 67}{space 4}-.2507955{col 80}{space 3} .1440492
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0190995{col 39}{space 2} .0111728{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4}-.0027989{col 80}{space 3} .0409979
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0211512{col 39}{space 2} .0570994{col 50}{space 1}   -0.37{col 59}{space 3}0.711{col 67}{space 4}-.1330644{col 80}{space 3} .0907621
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000561{col 39}{space 2} .0000407{col 50}{space 1}    1.38{col 59}{space 3}0.168{col 67}{space 4}-.0000237{col 80}{space 3} .0001359
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.20e-06{col 39}{space 2} 2.75e-07{col 50}{space 1}    4.35{col 59}{space 3}0.000{col 67}{space 4} 6.57e-07{col 80}{space 3} 1.73e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0156876{col 39}{space 2} .0011928{col 50}{space 1}   13.15{col 59}{space 3}0.000{col 67}{space 4} .0133498{col 80}{space 3} .0180254
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0000986{col 39}{space 2} .0005138{col 50}{space 1}    0.19{col 59}{space 3}0.848{col 67}{space 4}-.0009084{col 80}{space 3} .0011057
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0100482{col 39}{space 2} .0014813{col 50}{space 1}    6.78{col 59}{space 3}0.000{col 67}{space 4} .0071448{col 80}{space 3} .0129516
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000632{col 39}{space 2} .0000197{col 50}{space 1}   -3.20{col 59}{space 3}0.001{col 67}{space 4}-.0001018{col 80}{space 3}-.0000245
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.68e-06{col 39}{space 2} 1.79e-07{col 50}{space 1}    9.37{col 59}{space 3}0.000{col 67}{space 4} 1.33e-06{col 80}{space 3} 2.03e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0118093{col 39}{space 2} .0003784{col 50}{space 1}   31.21{col 59}{space 3}0.000{col 67}{space 4} .0110676{col 80}{space 3} .0125509
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010725{col 39}{space 2} .0001877{col 50}{space 1}    5.71{col 59}{space 3}0.000{col 67}{space 4} .0007046{col 80}{space 3} .0014405
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4176961{col 39}{space 2} .0016818{col 50}{space 1}  248.37{col 59}{space 3}0.000{col 67}{space 4} .4143998{col 80}{space 3} .4209923
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1530557{col 39}{space 2} .1097379{col 50}{space 1}    1.39{col 59}{space 3}0.163{col 67}{space 4}-.0620275{col 80}{space 3} .3681389
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
. * IV
. ivreghdfe Voted2022  $main_controls  (WP_Voted2018_b = WP_Relative_Voted2010_br) $insample, cluster(WP_HPG_id) absorb($FE) first
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of WP_Voted2018_b:

Statistics robust to heteroskedasticity and clustering on WP_HPG_id
Number of obs = {col 31}{res} 1585336
{txt}Number of clusters (WP_HPG_id) = {col 33}{res}298640
{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}           WP_Voted2018_b{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}WP_Relative_Voted2010_br {c |}{col 27}{res}{space 2} .1072982{col 39}{space 2} .0022434{col 50}{space 1}   47.83{col 59}{space 3}0.000{col 67}{space 4} .1029012{col 80}{space 3} .1116951
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2}  .012675{col 39}{space 2} .0018425{col 50}{space 1}    6.88{col 59}{space 3}0.000{col 67}{space 4} .0090639{col 80}{space 3} .0162861
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0121256{col 39}{space 2} .0014045{col 50}{space 1}    8.63{col 59}{space 3}0.000{col 67}{space 4} .0093728{col 80}{space 3} .0148785
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0005974{col 39}{space 2} .0020674{col 50}{space 1}    0.29{col 59}{space 3}0.773{col 67}{space 4}-.0034546{col 80}{space 3} .0046494
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .1548583{col 39}{space 2} .8235706{col 50}{space 1}    0.19{col 59}{space 3}0.851{col 67}{space 4}-1.459312{col 80}{space 3} 1.769028
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .0691807{col 39}{space 2}  .823712{col 50}{space 1}    0.08{col 59}{space 3}0.933{col 67}{space 4}-1.545267{col 80}{space 3} 1.683628
{txt}{space 23}4  {c |}{col 27}{res}{space 2}-.0111286{col 39}{space 2} .8235936{col 50}{space 1}   -0.01{col 59}{space 3}0.989{col 67}{space 4}-1.625344{col 80}{space 3} 1.603086
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-.2401027{col 39}{space 2} .8238352{col 50}{space 1}   -0.29{col 59}{space 3}0.771{col 67}{space 4}-1.854791{col 80}{space 3} 1.374586
{txt}{space 23}6  {c |}{col 27}{res}{space 2} -.146826{col 39}{space 2} .8235845{col 50}{space 1}   -0.18{col 59}{space 3}0.859{col 67}{space 4}-1.761023{col 80}{space 3} 1.467371
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.2187888{col 39}{space 2} .8244644{col 50}{space 1}   -0.27{col 59}{space 3}0.791{col 67}{space 4}-1.834711{col 80}{space 3} 1.397133
{txt}{space 23}8  {c |}{col 27}{res}{space 2}-.2504628{col 39}{space 2} .8236123{col 50}{space 1}   -0.30{col 59}{space 3}0.761{col 67}{space 4}-1.864715{col 80}{space 3} 1.363789
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.3637461{col 39}{space 2} .8237178{col 50}{space 1}   -0.44{col 59}{space 3}0.659{col 67}{space 4}-1.978205{col 80}{space 3} 1.250712
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.4015126{col 39}{space 2} .8239546{col 50}{space 1}   -0.49{col 59}{space 3}0.626{col 67}{space 4}-2.016435{col 80}{space 3}  1.21341
{txt}{space 22}11  {c |}{col 27}{res}{space 2}-.6699395{col 39}{space 2} 1.223613{col 50}{space 1}   -0.55{col 59}{space 3}0.584{col 67}{space 4}-3.068179{col 80}{space 3}   1.7283
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .1357657{col 39}{space 2} .8237512{col 50}{space 1}    0.16{col 59}{space 3}0.869{col 67}{space 4}-1.478758{col 80}{space 3}  1.75029
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .0798726{col 39}{space 2} .8237342{col 50}{space 1}    0.10{col 59}{space 3}0.923{col 67}{space 4}-1.534618{col 80}{space 3} 1.694363
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .0648448{col 39}{space 2} .8236589{col 50}{space 1}    0.08{col 59}{space 3}0.937{col 67}{space 4}-1.549498{col 80}{space 3} 1.679188
{txt}{space 22}15  {c |}{col 27}{res}{space 2}-.0136531{col 39}{space 2} .8236529{col 50}{space 1}   -0.02{col 59}{space 3}0.987{col 67}{space 4}-1.627984{col 80}{space 3} 1.600678
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.3187442{col 39}{space 2} .8235914{col 50}{space 1}   -0.39{col 59}{space 3}0.699{col 67}{space 4}-1.932955{col 80}{space 3} 1.295467
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0642324{col 39}{space 2} .8252428{col 50}{space 1}   -0.08{col 59}{space 3}0.938{col 67}{space 4} -1.68168{col 80}{space 3} 1.553215
{txt}{space 22}18  {c |}{col 27}{res}{space 2}-.0351812{col 39}{space 2}  .824814{col 50}{space 1}   -0.04{col 59}{space 3}0.966{col 67}{space 4}-1.651788{col 80}{space 3} 1.581426
{txt}{space 22}19  {c |}{col 27}{res}{space 2}-.2088804{col 39}{space 2}   .82503{col 50}{space 1}   -0.25{col 59}{space 3}0.800{col 67}{space 4}-1.825911{col 80}{space 3}  1.40815
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.2698857{col 39}{space 2} .8238958{col 50}{space 1}   -0.33{col 59}{space 3}0.743{col 67}{space 4}-1.884693{col 80}{space 3} 1.344922
{txt}{space 22}21  {c |}{col 27}{res}{space 2}-.1997514{col 39}{space 2} .8308785{col 50}{space 1}   -0.24{col 59}{space 3}0.810{col 67}{space 4}-1.828245{col 80}{space 3} 1.428742
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .1768102{col 39}{space 2} .8234989{col 50}{space 1}    0.21{col 59}{space 3}0.830{col 67}{space 4}-1.437219{col 80}{space 3}  1.79084
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .0879501{col 39}{space 2} .8234921{col 50}{space 1}    0.11{col 59}{space 3}0.915{col 67}{space 4}-1.526066{col 80}{space 3} 1.701966
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .0918618{col 39}{space 2} .8235059{col 50}{space 1}    0.11{col 59}{space 3}0.911{col 67}{space 4}-1.522181{col 80}{space 3} 1.705905
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .0588731{col 39}{space 2} .8236413{col 50}{space 1}    0.07{col 59}{space 3}0.943{col 67}{space 4}-1.555435{col 80}{space 3} 1.673182
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .0756632{col 39}{space 2} .8235722{col 50}{space 1}    0.09{col 59}{space 3}0.927{col 67}{space 4} -1.53851{col 80}{space 3} 1.689836
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .1356761{col 39}{space 2} .8241212{col 50}{space 1}    0.16{col 59}{space 3}0.869{col 67}{space 4}-1.479573{col 80}{space 3} 1.750925
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .0794492{col 39}{space 2} .8237523{col 50}{space 1}    0.10{col 59}{space 3}0.923{col 67}{space 4}-1.535077{col 80}{space 3} 1.693975
{txt}{space 22}29  {c |}{col 27}{res}{space 2}-.0216156{col 39}{space 2}   .82372{col 50}{space 1}   -0.03{col 59}{space 3}0.979{col 67}{space 4}-1.636078{col 80}{space 3} 1.592847
{txt}{space 22}30  {c |}{col 27}{res}{space 2}-.0159033{col 39}{space 2} .8245741{col 50}{space 1}   -0.02{col 59}{space 3}0.985{col 67}{space 4} -1.63204{col 80}{space 3} 1.600233
{txt}{space 22}31  {c |}{col 27}{res}{space 2}  .057197{col 39}{space 2} .8297195{col 50}{space 1}    0.07{col 59}{space 3}0.945{col 67}{space 4}-1.569025{col 80}{space 3} 1.683419
{txt}{space 22}32  {c |}{col 27}{res}{space 2}  .192013{col 39}{space 2} .8235025{col 50}{space 1}    0.23{col 59}{space 3}0.816{col 67}{space 4}-1.422023{col 80}{space 3} 1.806049
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .1175395{col 39}{space 2} .8234822{col 50}{space 1}    0.14{col 59}{space 3}0.886{col 67}{space 4}-1.496457{col 80}{space 3} 1.731536
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .1525657{col 39}{space 2} .8235039{col 50}{space 1}    0.19{col 59}{space 3}0.853{col 67}{space 4}-1.461474{col 80}{space 3} 1.766605
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .1398582{col 39}{space 2} .8235272{col 50}{space 1}    0.17{col 59}{space 3}0.865{col 67}{space 4}-1.474227{col 80}{space 3} 1.753943
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .139094{col 39}{space 2} .8235072{col 50}{space 1}    0.17{col 59}{space 3}0.866{col 67}{space 4}-1.474952{col 80}{space 3}  1.75314
{txt}{space 22}37  {c |}{col 27}{res}{space 2}  .186979{col 39}{space 2} .8239723{col 50}{space 1}    0.23{col 59}{space 3}0.820{col 67}{space 4}-1.427978{col 80}{space 3} 1.801936
{txt}{space 22}38  {c |}{col 27}{res}{space 2}   .25699{col 39}{space 2} .8235944{col 50}{space 1}    0.31{col 59}{space 3}0.755{col 67}{space 4}-1.357227{col 80}{space 3} 1.871207
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .1423637{col 39}{space 2} .8239009{col 50}{space 1}    0.17{col 59}{space 3}0.863{col 67}{space 4}-1.472454{col 80}{space 3} 1.757181
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .1651391{col 39}{space 2} .8237527{col 50}{space 1}    0.20{col 59}{space 3}0.841{col 67}{space 4}-1.449388{col 80}{space 3} 1.779666
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}-.2259558{col 39}{space 2}  1.09375{col 50}{space 1}   -0.21{col 59}{space 3}0.836{col 67}{space 4}-2.369668{col 80}{space 3} 1.917756
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} 2.053599{col 39}{space 2} 7.467319{col 50}{space 1}    0.28{col 59}{space 3}0.783{col 67}{space 4}-12.58209{col 80}{space 3} 16.68929
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0071614{col 39}{space 2} .0140524{col 50}{space 1}    0.51{col 59}{space 3}0.610{col 67}{space 4}-.0203809{col 80}{space 3} .0347037
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} -.008778{col 39}{space 2} .0784276{col 50}{space 1}   -0.11{col 59}{space 3}0.911{col 67}{space 4}-.1624935{col 80}{space 3} .1449375
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0152666{col 39}{space 2} .0234792{col 50}{space 1}   -0.65{col 59}{space 3}0.516{col 67}{space 4}-.0612849{col 80}{space 3} .0307518
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}  .110496{col 39}{space 2} .1078168{col 50}{space 1}    1.02{col 59}{space 3}0.305{col 67}{space 4}-.1008212{col 80}{space 3} .3218131
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}-.0125036{col 39}{space 2} .0169428{col 50}{space 1}   -0.74{col 59}{space 3}0.461{col 67}{space 4}-.0457109{col 80}{space 3} .0207038
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}-.0580492{col 39}{space 2} .0947944{col 50}{space 1}   -0.61{col 59}{space 3}0.540{col 67}{space 4}-.2438429{col 80}{space 3} .1277445
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0401462{col 39}{space 2} .0313325{col 50}{space 1}    1.28{col 59}{space 3}0.200{col 67}{space 4}-.0212644{col 80}{space 3} .1015568
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0590504{col 39}{space 2} .1616217{col 50}{space 1}   -0.37{col 59}{space 3}0.715{col 67}{space 4}-.3758234{col 80}{space 3} .2577226
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0327848{col 39}{space 2} .0164209{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0006003{col 80}{space 3} .0649693
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0064007{col 39}{space 2} .0801102{col 50}{space 1}    0.08{col 59}{space 3}0.936{col 67}{space 4}-.1506125{col 80}{space 3} .1634139
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .1291177{col 39}{space 2} .0502064{col 50}{space 1}    2.57{col 59}{space 3}0.010{col 67}{space 4} .0307149{col 80}{space 3} .2275206
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.0997924{col 39}{space 2} .2809544{col 50}{space 1}   -0.36{col 59}{space 3}0.722{col 67}{space 4}-.6504533{col 80}{space 3} .4508685
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0196636{col 39}{space 2} .0189798{col 50}{space 1}    1.04{col 59}{space 3}0.300{col 67}{space 4}-.0175362{col 80}{space 3} .0568634
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0442517{col 39}{space 2} .1017049{col 50}{space 1}   -0.44{col 59}{space 3}0.663{col 67}{space 4}-.2435897{col 80}{space 3} .1550863
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0683259{col 39}{space 2} .0260704{col 50}{space 1}    2.62{col 59}{space 3}0.009{col 67}{space 4} .0172288{col 80}{space 3} .1194231
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2} .1064894{col 39}{space 2} .1294867{col 50}{space 1}    0.82{col 59}{space 3}0.411{col 67}{space 4}-.1473002{col 80}{space 3} .3602789
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .1721657{col 39}{space 2} .0356901{col 50}{space 1}    4.82{col 59}{space 3}0.000{col 67}{space 4} .1022144{col 80}{space 3}  .242117
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1804095{col 39}{space 2} .1759164{col 50}{space 1}   -1.03{col 59}{space 3}0.305{col 67}{space 4}-.5251995{col 80}{space 3} .1643805
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .6667277{col 39}{space 2} 1.042094{col 50}{space 1}    0.64{col 59}{space 3}0.522{col 67}{space 4}-1.375741{col 80}{space 3} 2.709196
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} 5.151713{col 39}{space 2} 2.070049{col 50}{space 1}    2.49{col 59}{space 3}0.013{col 67}{space 4} 1.094488{col 80}{space 3} 9.208938
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}  .056058{col 39}{space 2} .0208718{col 50}{space 1}    2.69{col 59}{space 3}0.007{col 67}{space 4} .0151501{col 80}{space 3}  .096966
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2} .0298147{col 39}{space 2} .1329711{col 50}{space 1}    0.22{col 59}{space 3}0.823{col 67}{space 4}-.2308041{col 80}{space 3} .2904335
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0421383{col 39}{space 2} .0222145{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0014014{col 80}{space 3}  .085678
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0382329{col 39}{space 2} .1437299{col 50}{space 1}    0.27{col 59}{space 3}0.790{col 67}{space 4}-.2434727{col 80}{space 3} .3199386
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0115269{col 39}{space 2} .0196435{col 50}{space 1}   -0.59{col 59}{space 3}0.557{col 67}{space 4}-.0500275{col 80}{space 3} .0269737
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0419811{col 39}{space 2} .1191918{col 50}{space 1}    0.35{col 59}{space 3}0.725{col 67}{space 4}-.1916307{col 80}{space 3} .2755929
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0334873{col 39}{space 2} .0194107{col 50}{space 1}    1.73{col 59}{space 3}0.084{col 67}{space 4} -.004557{col 80}{space 3} .0715316
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0916508{col 39}{space 2} .1163949{col 50}{space 1}    0.79{col 59}{space 3}0.431{col 67}{space 4}-.1364792{col 80}{space 3} .3197807
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .1677941{col 39}{space 2} .0158732{col 50}{space 1}   10.57{col 59}{space 3}0.000{col 67}{space 4} .1366832{col 80}{space 3}  .198905
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} -.177078{col 39}{space 2}  .096051{col 50}{space 1}   -1.84{col 59}{space 3}0.065{col 67}{space 4}-.3653346{col 80}{space 3} .0111786
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0914835{col 39}{space 2} .0613232{col 50}{space 1}    1.49{col 59}{space 3}0.136{col 67}{space 4}-.0287079{col 80}{space 3} .2116748
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .3385139{col 39}{space 2}  .241396{col 50}{space 1}    1.40{col 59}{space 3}0.161{col 67}{space 4}-.1346139{col 80}{space 3} .8116418
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0305866{col 39}{space 2} .0562268{col 50}{space 1}    0.54{col 59}{space 3}0.586{col 67}{space 4}-.0796159{col 80}{space 3} .1407892
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .3857707{col 39}{space 2} .3402787{col 50}{space 1}    1.13{col 59}{space 3}0.257{col 67}{space 4}-.2811637{col 80}{space 3} 1.052705
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0185567{col 39}{space 2} .0638205{col 50}{space 1}    0.29{col 59}{space 3}0.771{col 67}{space 4}-.1065294{col 80}{space 3} .1436427
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} .2165476{col 39}{space 2} .3031233{col 50}{space 1}    0.71{col 59}{space 3}0.475{col 67}{space 4}-.3775635{col 80}{space 3} .8106587
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .1566168{col 39}{space 2} .0311664{col 50}{space 1}    5.03{col 59}{space 3}0.000{col 67}{space 4} .0955316{col 80}{space 3} .2177019
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.3352348{col 39}{space 2} .1811125{col 50}{space 1}   -1.85{col 59}{space 3}0.064{col 67}{space 4} -.690209{col 80}{space 3} .0197394
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0012377{col 39}{space 2} .0001437{col 50}{space 1}    8.61{col 59}{space 3}0.000{col 67}{space 4}  .000956{col 80}{space 3} .0015194
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 4.61e-06{col 39}{space 2} 7.84e-07{col 50}{space 1}    5.88{col 59}{space 3}0.000{col 67}{space 4} 3.07e-06{col 80}{space 3} 6.15e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0605336{col 39}{space 2} .0040128{col 50}{space 1}   15.09{col 59}{space 3}0.000{col 67}{space 4} .0526687{col 80}{space 3} .0683986
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0034722{col 39}{space 2} .0016593{col 50}{space 1}   -2.09{col 59}{space 3}0.036{col 67}{space 4}-.0067243{col 80}{space 3}-.0002202
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0081581{col 39}{space 2} .0058789{col 50}{space 1}    1.39{col 59}{space 3}0.165{col 67}{space 4}-.0033643{col 80}{space 3} .0196806
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000274{col 39}{space 2} .0000555{col 50}{space 1}   -0.49{col 59}{space 3}0.622{col 67}{space 4}-.0001362{col 80}{space 3} .0000814
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.08e-06{col 39}{space 2} 2.47e-07{col 50}{space 1}    4.37{col 59}{space 3}0.000{col 67}{space 4} 5.96e-07{col 80}{space 3} 1.56e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0108005{col 39}{space 2} .0008417{col 50}{space 1}   12.83{col 59}{space 3}0.000{col 67}{space 4} .0091508{col 80}{space 3} .0124502
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0016677{col 39}{space 2} .0003967{col 50}{space 1}    4.20{col 59}{space 3}0.000{col 67}{space 4} .0008902{col 80}{space 3} .0024451
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0331584{col 39}{space 2} .0023149{col 50}{space 1}   14.32{col 59}{space 3}0.000{col 67}{space 4} .0286213{col 80}{space 3} .0376956
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,298639) = {res} 2287.58
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,298639) = {res} 2287.58
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}298639{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}298639{txt})
{res}WP_Voted2018{col 14}{txt}|{col 18}{res} 2287.58{col 28}  0.0000{col 37}{txt}|{col 42}{res} 2296.41{col 51}  0.0000{col 60}{txt}|{col 65}{res} 2287.58

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}2234.53{col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65}23956.75
Kleibergen-Paap Wald rk F statistic{col 65} 2287.58

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}298639{txt})={col 49}{res}  33.84{col 61}{txt}P-val={res}0.0000
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  33.97{col 61}{txt}P-val={res}0.0000
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  34.25{col 61}{txt}P-val={res}0.0000

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}    298640
{txt}Number of observations               N  = {res}   1585336
{txt}Number of regressors                 K  = {res}        93
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}        93
{txt}Number of excluded instruments       L1 = {res}         1

{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 93,298639) = {res} 1293.65
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2273
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2273
{txt}Residual SS             = {res} 76751.44292{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}WP_Voted2018_b {c |}{col 27}{res}{space 2} .0196454{col 39}{space 2} .0033954{col 50}{space 1}    5.79{col 59}{space 3}0.000{col 67}{space 4} .0129905{col 80}{space 3} .0263003
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2}  .035607{col 39}{space 2} .0010727{col 50}{space 1}   33.20{col 59}{space 3}0.000{col 67}{space 4} .0335046{col 80}{space 3} .0377093
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1227894{col 39}{space 2}   .00107{col 50}{space 1}  114.76{col 59}{space 3}0.000{col 67}{space 4} .1206922{col 80}{space 3} .1248865
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .102792{col 39}{space 2} .0012896{col 50}{space 1}   79.71{col 59}{space 3}0.000{col 67}{space 4} .1002644{col 80}{space 3} .1053197
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2299176{col 39}{space 2} .1094913{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0153177{col 80}{space 3} .4445175
{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .227305{col 39}{space 2} .1095402{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0126094{col 80}{space 3} .4420007
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2234986{col 39}{space 2} .1094615{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0089572{col 80}{space 3} .4380401
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1952117{col 39}{space 2} .1096489{col 50}{space 1}    1.78{col 59}{space 3}0.075{col 67}{space 4} -.019697{col 80}{space 3} .4101205
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2064745{col 39}{space 2} .1094994{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0081412{col 80}{space 3} .4210902
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1703362{col 39}{space 2} .1104544{col 50}{space 1}    1.54{col 59}{space 3}0.123{col 67}{space 4}-.0461514{col 80}{space 3} .3868238
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2168606{col 39}{space 2} .1094747{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0022932{col 80}{space 3} .4314279
{txt}{space 23}9  {c |}{col 27}{res}{space 2}  .217001{col 39}{space 2} .1095414{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0023028{col 80}{space 3} .4316991
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1812886{col 39}{space 2} .1099349{col 50}{space 1}    1.65{col 59}{space 3}0.099{col 67}{space 4}-.0341807{col 80}{space 3} .3967579
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3871744{col 39}{space 2} .1569028{col 50}{space 1}    2.47{col 59}{space 3}0.014{col 67}{space 4} .0796493{col 80}{space 3} .6946996
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2278434{col 39}{space 2} .1096759{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0128818{col 80}{space 3}  .442805
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2356047{col 39}{space 2} .1095834{col 50}{space 1}    2.15{col 59}{space 3}0.032{col 67}{space 4} .0208243{col 80}{space 3}  .450385
{txt}{space 22}14  {c |}{col 27}{res}{space 2}  .231408{col 39}{space 2} .1094948{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0168013{col 80}{space 3} .4460148
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2245229{col 39}{space 2} .1094789{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0099473{col 80}{space 3} .4390985
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2137145{col 39}{space 2} .1094519{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0008083{col 80}{space 3} .4282372
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2069685{col 39}{space 2}  .112081{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4} -.012707{col 80}{space 3}  .426644
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .2047677{col 39}{space 2}  .110461{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0117328{col 80}{space 3} .4212682
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2111386{col 39}{space 2} .1101375{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0047278{col 80}{space 3}  .427005
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1905638{col 39}{space 2} .1097387{col 50}{space 1}    1.74{col 59}{space 3}0.082{col 67}{space 4} -.024521{col 80}{space 3} .4056486
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2336818{col 39}{space 2}  .109938{col 50}{space 1}    2.13{col 59}{space 3}0.034{col 67}{space 4} .0182065{col 80}{space 3} .4491572
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2250655{col 39}{space 2} .1094096{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0106258{col 80}{space 3} .4395052
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2314634{col 39}{space 2} .1094029{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0170369{col 80}{space 3}   .44589
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2318268{col 39}{space 2} .1094041{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0173977{col 80}{space 3} .4462558
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2279466{col 39}{space 2} .1094215{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0134836{col 80}{space 3} .4424096
{txt}{space 22}26  {c |}{col 27}{res}{space 2}  .227212{col 39}{space 2} .1094191{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0127537{col 80}{space 3} .4416704
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2141649{col 39}{space 2} .1099976{col 50}{space 1}    1.95{col 59}{space 3}0.052{col 67}{space 4}-.0014274{col 80}{space 3} .4297572
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2238046{col 39}{space 2} .1094426{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0093002{col 80}{space 3} .4383089
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2184648{col 39}{space 2}  .109435{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0039753{col 80}{space 3} .4329543
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2128804{col 39}{space 2} .1096496{col 50}{space 1}    1.94{col 59}{space 3}0.052{col 67}{space 4}-.0020298{col 80}{space 3} .4277905
{txt}{space 22}31  {c |}{col 27}{res}{space 2}  .242467{col 39}{space 2} .1100789{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .0267155{col 80}{space 3} .4582185
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2291688{col 39}{space 2} .1094069{col 50}{space 1}    2.09{col 59}{space 3}0.036{col 67}{space 4} .0147344{col 80}{space 3} .4436032
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2342942{col 39}{space 2} .1094021{col 50}{space 1}    2.14{col 59}{space 3}0.032{col 67}{space 4}  .019869{col 80}{space 3} .4487193
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2354214{col 39}{space 2} .1094042{col 50}{space 1}    2.15{col 59}{space 3}0.031{col 67}{space 4} .0209921{col 80}{space 3} .4498506
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2347282{col 39}{space 2} .1094063{col 50}{space 1}    2.15{col 59}{space 3}0.032{col 67}{space 4}  .020295{col 80}{space 3} .4491614
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2292538{col 39}{space 2} .1094073{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0148185{col 80}{space 3}  .443689
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2335322{col 39}{space 2} .1097432{col 50}{space 1}    2.13{col 59}{space 3}0.033{col 67}{space 4} .0184387{col 80}{space 3} .4486257
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2322457{col 39}{space 2} .1096181{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0173974{col 80}{space 3}  .447094
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2265637{col 39}{space 2} .1095321{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0118839{col 80}{space 3} .4412435
{txt}{space 22}40  {c |}{col 27}{res}{space 2}  .231855{col 39}{space 2} .1095675{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0171057{col 80}{space 3} .4466043
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3303396{col 39}{space 2} .1356657{col 50}{space 1}    2.43{col 59}{space 3}0.015{col 67}{space 4} .0644387{col 80}{space 3} .5962405
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.401111{col 39}{space 2} 1.326872{col 50}{space 1}   -1.81{col 59}{space 3}0.070{col 67}{space 4}-5.001743{col 80}{space 3}  .199522
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0024603{col 39}{space 2} .0056806{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.0135941{col 80}{space 3} .0086734
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0019028{col 39}{space 2} .0353657{col 50}{space 1}   -0.05{col 59}{space 3}0.957{col 67}{space 4}-.0712186{col 80}{space 3} .0674129
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0013643{col 39}{space 2} .0071951{col 50}{space 1}   -0.19{col 59}{space 3}0.850{col 67}{space 4}-.0154666{col 80}{space 3} .0127379
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0820067{col 39}{space 2} .0469759{col 50}{space 1}   -1.75{col 59}{space 3}0.081{col 67}{space 4}-.1740782{col 80}{space 3} .0100647
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0029567{col 39}{space 2} .0048474{col 50}{space 1}    0.61{col 59}{space 3}0.542{col 67}{space 4} -.006544{col 80}{space 3} .0124574
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0178268{col 39}{space 2} .0258872{col 50}{space 1}    0.69{col 59}{space 3}0.491{col 67}{space 4}-.0329113{col 80}{space 3}  .068565
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0138538{col 39}{space 2} .0098737{col 50}{space 1}    1.40{col 59}{space 3}0.161{col 67}{space 4}-.0054984{col 80}{space 3} .0332061
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0350703{col 39}{space 2} .0441721{col 50}{space 1}    0.79{col 59}{space 3}0.427{col 67}{space 4}-.0515058{col 80}{space 3} .1216464
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0030088{col 39}{space 2}  .006263{col 50}{space 1}   -0.48{col 59}{space 3}0.631{col 67}{space 4}-.0152842{col 80}{space 3} .0092666
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0934704{col 39}{space 2}  .032477{col 50}{space 1}   -2.88{col 59}{space 3}0.004{col 67}{space 4}-.1571245{col 80}{space 3}-.0298164
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0341902{col 39}{space 2} .0205223{col 50}{space 1}    1.67{col 59}{space 3}0.096{col 67}{space 4} -.006033{col 80}{space 3} .0744134
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} -.166913{col 39}{space 2} .1427355{col 50}{space 1}   -1.17{col 59}{space 3}0.242{col 67}{space 4}-.4466706{col 80}{space 3} .1128446
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0012049{col 39}{space 2} .0054101{col 50}{space 1}    0.22{col 59}{space 3}0.824{col 67}{space 4}-.0093988{col 80}{space 3} .0118086
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0400183{col 39}{space 2} .0304125{col 50}{space 1}   -1.32{col 59}{space 3}0.188{col 67}{space 4} -.099626{col 80}{space 3} .0195894
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0017174{col 39}{space 2} .0075487{col 50}{space 1}    0.23{col 59}{space 3}0.820{col 67}{space 4}-.0130778{col 80}{space 3} .0165126
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0220121{col 39}{space 2}  .040843{col 50}{space 1}   -0.54{col 59}{space 3}0.590{col 67}{space 4}-.1020632{col 80}{space 3} .0580391
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} 6.60e-06{col 39}{space 2} .0145519{col 50}{space 1}    0.00{col 59}{space 3}1.000{col 67}{space 4}-.0285146{col 80}{space 3} .0285278
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0359475{col 39}{space 2} .0865279{col 50}{space 1}   -0.42{col 59}{space 3}0.678{col 67}{space 4}-.2055398{col 80}{space 3} .1336447
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1395213{col 39}{space 2} .1341185{col 50}{space 1}   -1.04{col 59}{space 3}0.298{col 67}{space 4}-.4023897{col 80}{space 3} .1233472
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0455012{col 39}{space 2} .2424354{col 50}{space 1}    0.19{col 59}{space 3}0.851{col 67}{space 4}-.4296654{col 80}{space 3} .5206678
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0005236{col 39}{space 2} .0099649{col 50}{space 1}   -0.05{col 59}{space 3}0.958{col 67}{space 4}-.0200545{col 80}{space 3} .0190073
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0164907{col 39}{space 2} .1153573{col 50}{space 1}   -0.14{col 59}{space 3}0.886{col 67}{space 4}-.2425877{col 80}{space 3} .2096063
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0080933{col 39}{space 2} .0080415{col 50}{space 1}   -1.01{col 59}{space 3}0.314{col 67}{space 4}-.0238545{col 80}{space 3} .0076678
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0326218{col 39}{space 2} .0309323{col 50}{space 1}    1.05{col 59}{space 3}0.292{col 67}{space 4}-.0280047{col 80}{space 3} .0932482
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0028753{col 39}{space 2} .0057733{col 50}{space 1}   -0.50{col 59}{space 3}0.618{col 67}{space 4}-.0141909{col 80}{space 3} .0084402
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0041084{col 39}{space 2} .0374887{col 50}{space 1}   -0.11{col 59}{space 3}0.913{col 67}{space 4}-.0775852{col 80}{space 3} .0693684
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0042221{col 39}{space 2} .0053647{col 50}{space 1}    0.79{col 59}{space 3}0.431{col 67}{space 4}-.0062926{col 80}{space 3} .0147369
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0072974{col 39}{space 2}  .030877{col 50}{space 1}    0.24{col 59}{space 3}0.813{col 67}{space 4}-.0532208{col 80}{space 3} .0678155
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0049868{col 39}{space 2} .0043116{col 50}{space 1}    1.16{col 59}{space 3}0.247{col 67}{space 4}-.0034637{col 80}{space 3} .0134374
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0220653{col 39}{space 2} .0232187{col 50}{space 1}    0.95{col 59}{space 3}0.342{col 67}{space 4}-.0234427{col 80}{space 3} .0675734
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0021619{col 39}{space 2} .0309843{col 50}{space 1}    0.07{col 59}{space 3}0.944{col 67}{space 4}-.0585664{col 80}{space 3} .0628902
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1332786{col 39}{space 2} .0620179{col 50}{space 1}    2.15{col 59}{space 3}0.032{col 67}{space 4} .0117252{col 80}{space 3}  .254832
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0131933{col 39}{space 2} .0199463{col 50}{space 1}    0.66{col 59}{space 3}0.508{col 67}{space 4}-.0259008{col 80}{space 3} .0522874
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1009352{col 39}{space 2} .0893696{col 50}{space 1}    1.13{col 59}{space 3}0.259{col 67}{space 4}-.0742267{col 80}{space 3}  .276097
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0143597{col 39}{space 2} .0169745{col 50}{space 1}    0.85{col 59}{space 3}0.398{col 67}{space 4}-.0189099{col 80}{space 3} .0476293
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0576274{col 39}{space 2} .1010417{col 50}{space 1}   -0.57{col 59}{space 3}0.568{col 67}{space 4}-.2556663{col 80}{space 3} .1404116
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0160227{col 39}{space 2} .0111981{col 50}{space 1}    1.43{col 59}{space 3}0.152{col 67}{space 4}-.0059252{col 80}{space 3} .0379706
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0145653{col 39}{space 2} .0573845{col 50}{space 1}   -0.25{col 59}{space 3}0.800{col 67}{space 4}-.1270373{col 80}{space 3} .0979067
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000318{col 39}{space 2} .0000408{col 50}{space 1}    0.78{col 59}{space 3}0.436{col 67}{space 4}-.0000482{col 80}{space 3} .0001118
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 1.11e-06{col 39}{space 2} 2.74e-07{col 50}{space 1}    4.03{col 59}{space 3}0.000{col 67}{space 4} 5.68e-07{col 80}{space 3} 1.64e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0144984{col 39}{space 2} .0011971{col 50}{space 1}   12.11{col 59}{space 3}0.000{col 67}{space 4} .0121521{col 80}{space 3} .0168446
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0001668{col 39}{space 2} .0005152{col 50}{space 1}    0.32{col 59}{space 3}0.746{col 67}{space 4} -.000843{col 80}{space 3} .0011766
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2}  .009888{col 39}{space 2} .0014849{col 50}{space 1}    6.66{col 59}{space 3}0.000{col 67}{space 4} .0069776{col 80}{space 3} .0127984
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000626{col 39}{space 2} .0000197{col 50}{space 1}   -3.17{col 59}{space 3}0.002{col 67}{space 4}-.0001013{col 80}{space 3} -.000024
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.66e-06{col 39}{space 2} 1.78e-07{col 50}{space 1}    9.34{col 59}{space 3}0.000{col 67}{space 4} 1.31e-06{col 80}{space 3} 2.01e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0115971{col 39}{space 2}   .00038{col 50}{space 1}   30.52{col 59}{space 3}0.000{col 67}{space 4} .0108523{col 80}{space 3} .0123419
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010397{col 39}{space 2} .0001879{col 50}{space 1}    5.53{col 59}{space 3}0.000{col 67}{space 4} .0006714{col 80}{space 3}  .001408
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4170447{col 39}{space 2} .0016855{col 50}{space 1}  247.43{col 59}{space 3}0.000{col 67}{space 4} .4137411{col 80}{space 3} .4203482
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2234.531
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 2.4e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2287.578
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018_b
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010_br
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}.  
.  
. *****************************************************************
. *********** TABLE A8 Alternative instrument  *********
. *****************************************************************
. 
.  
. use Data/data_main_analysis_coworker_peers_18_65_years_alt_instrument, clear
{txt}
{com}. setup_macros_covariates
{txt}(176,210 missing values generated)
(176,210 missing values generated)
(176,210 missing values generated)
(176,210 missing values generated)

group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,436        0.13        0.13
{txt}          2 {c |}{res}     21,735        1.17        1.30
{txt}          3 {c |}{res}     30,935        1.67        2.97
{txt}          4 {c |}{res}     89,841        4.85        7.82
{txt}          5 {c |}{res}     39,846        2.15        9.97
{txt}          6 {c |}{res}     77,655        4.19       14.17
{txt}          7 {c |}{res}      5,015        0.27       14.44
{txt}          8 {c |}{res}    151,976        8.20       22.64
{txt}          9 {c |}{res}     97,152        5.24       27.89
{txt}         10 {c |}{res}     20,638        1.11       29.00
{txt}         11 {c |}{res}        248        0.01       29.01
{txt}         12 {c |}{res}      6,911        0.37       29.39
{txt}         13 {c |}{res}     21,794        1.18       30.56
{txt}         14 {c |}{res}     42,011        2.27       32.83
{txt}         15 {c |}{res}     58,521        3.16       35.99
{txt}         16 {c |}{res}    217,229       11.73       47.71
{txt}         17 {c |}{res}      1,870        0.10       47.82
{txt}         18 {c |}{res}      5,834        0.31       48.13
{txt}         19 {c |}{res}     13,920        0.75       48.88
{txt}         20 {c |}{res}     22,038        1.19       50.07
{txt}         21 {c |}{res}      2,111        0.11       50.19
{txt}         22 {c |}{res}     44,605        2.41       52.59
{txt}         23 {c |}{res}    207,916       11.22       63.82
{txt}         24 {c |}{res}     87,392        4.72       68.53
{txt}         25 {c |}{res}      9,800        0.53       69.06
{txt}         26 {c |}{res}     13,446        0.73       69.79
{txt}         27 {c |}{res}        412        0.02       69.81
{txt}         28 {c |}{res}      6,265        0.34       70.15
{txt}         29 {c |}{res}      8,595        0.46       70.61
{txt}         30 {c |}{res}      1,381        0.07       70.69
{txt}         31 {c |}{res}        212        0.01       70.70
{txt}         32 {c |}{res}     42,561        2.30       73.00
{txt}         33 {c |}{res}    362,794       19.58       92.58
{txt}         34 {c |}{res}     73,367        3.96       96.54
{txt}         35 {c |}{res}     28,345        1.53       98.07
{txt}         36 {c |}{res}     31,577        1.70       99.77
{txt}         37 {c |}{res}        506        0.03       99.80
{txt}         38 {c |}{res}        733        0.04       99.84
{txt}         39 {c |}{res}      1,679        0.09       99.93
{txt}         40 {c |}{res}      1,262        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,852,564      100.00
{txt}(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
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(303,406 missing values generated)
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(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
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(303,406 missing values generated)
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(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
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(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
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(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
(303,406 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. 
. * OLS
. reghdfe Voted2022 WP_Voted2018 $OLS_main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,509,005
{txt}Absorbing 1 HDFE group{col 51}F({res}  92{txt},{res} 286426{txt}){col 67}= {res}   1118.06
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2385
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2354
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2252
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   286,427{txt}{col 51}Root MSE{col 67}= {res}    0.2098

{txt}{ralign 91:(Std. err. adjusted for {res:286,427} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0209725{col 39}{space 2} .0017988{col 50}{space 1}   11.66{col 59}{space 3}0.000{col 67}{space 4} .0174469{col 80}{space 3}  .024498
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1230917{col 39}{space 2} .0011069{col 50}{space 1}  111.21{col 59}{space 3}0.000{col 67}{space 4} .1209222{col 80}{space 3} .1252611
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1061881{col 39}{space 2} .0013494{col 50}{space 1}   78.70{col 59}{space 3}0.000{col 67}{space 4} .1035434{col 80}{space 3} .1088328
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2}-.0507567{col 39}{space 2}  .109939{col 50}{space 1}   -0.46{col 59}{space 3}0.644{col 67}{space 4}-.2662342{col 80}{space 3} .1647208
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{txt}{space 22}21  {c |}{col 27}{res}{space 2}-.0341726{col 39}{space 2} .1100237{col 50}{space 1}   -0.31{col 59}{space 3}0.756{col 67}{space 4} -.249816{col 80}{space 3} .1814708
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{txt}{space 22}25  {c |}{col 27}{res}{space 2}-.0427209{col 39}{space 2} .1098327{col 50}{space 1}   -0.39{col 59}{space 3}0.697{col 67}{space 4}  -.25799{col 80}{space 3} .1725482
{txt}{space 22}26  {c |}{col 27}{res}{space 2}-.0440396{col 39}{space 2} .1098301{col 50}{space 1}   -0.40{col 59}{space 3}0.688{col 67}{space 4}-.2593036{col 80}{space 3} .1712245
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-.0502732{col 39}{space 2} .1102605{col 50}{space 1}   -0.46{col 59}{space 3}0.648{col 67}{space 4}-.2663807{col 80}{space 3} .1658342
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{txt}{space 22}29  {c |}{col 27}{res}{space 2}-.0500047{col 39}{space 2} .1098406{col 50}{space 1}   -0.46{col 59}{space 3}0.649{col 67}{space 4}-.2652892{col 80}{space 3} .1652798
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{txt}{space 22}31  {c |}{col 27}{res}{space 2}-.0256887{col 39}{space 2} .1100681{col 50}{space 1}   -0.23{col 59}{space 3}0.815{col 67}{space 4}-.2414192{col 80}{space 3} .1900419
{txt}{space 22}32  {c |}{col 27}{res}{space 2}-.0422461{col 39}{space 2} .1098159{col 50}{space 1}   -0.38{col 59}{space 3}0.700{col 67}{space 4}-.2574822{col 80}{space 3}   .17299
{txt}{space 22}33  {c |}{col 27}{res}{space 2}-.0351147{col 39}{space 2} .1098129{col 50}{space 1}   -0.32{col 59}{space 3}0.749{col 67}{space 4}-.2503449{col 80}{space 3} .1801155
{txt}{space 22}34  {c |}{col 27}{res}{space 2}-.0336816{col 39}{space 2}  .109814{col 50}{space 1}   -0.31{col 59}{space 3}0.759{col 67}{space 4} -.248914{col 80}{space 3} .1815508
{txt}{space 22}35  {c |}{col 27}{res}{space 2}-.0341079{col 39}{space 2} .1098172{col 50}{space 1}   -0.31{col 59}{space 3}0.756{col 67}{space 4}-.2493465{col 80}{space 3} .1811307
{txt}{space 22}36  {c |}{col 27}{res}{space 2}-.0383142{col 39}{space 2} .1098196{col 50}{space 1}   -0.35{col 59}{space 3}0.727{col 67}{space 4}-.2535576{col 80}{space 3} .1769292
{txt}{space 22}37  {c |}{col 27}{res}{space 2}-.0272355{col 39}{space 2} .1100418{col 50}{space 1}   -0.25{col 59}{space 3}0.805{col 67}{space 4}-.2429143{col 80}{space 3} .1884434
{txt}{space 22}38  {c |}{col 27}{res}{space 2}-.0331482{col 39}{space 2} .1100063{col 50}{space 1}   -0.30{col 59}{space 3}0.763{col 67}{space 4}-.2487574{col 80}{space 3}  .182461
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0428229{col 39}{space 2} .1099289{col 50}{space 1}   -0.39{col 59}{space 3}0.697{col 67}{space 4}-.2582804{col 80}{space 3} .1726346
{txt}{space 22}40  {c |}{col 27}{res}{space 2}-.0307155{col 39}{space 2} .1099746{col 50}{space 1}   -0.28{col 59}{space 3}0.780{col 67}{space 4}-.2462627{col 80}{space 3} .1848316
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} -.068008{col 39}{space 2} .1269122{col 50}{space 1}   -0.54{col 59}{space 3}0.592{col 67}{space 4}-.3167524{col 80}{space 3} .1807365
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-.0691863{col 39}{space 2} .1108595{col 50}{space 1}   -0.62{col 59}{space 3}0.533{col 67}{space 4}-.2864679{col 80}{space 3} .1480954
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0027596{col 39}{space 2}  .006295{col 50}{space 1}    0.44{col 59}{space 3}0.661{col 67}{space 4}-.0095785{col 80}{space 3} .0150976
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0049634{col 39}{space 2} .0383874{col 50}{space 1}    0.13{col 59}{space 3}0.897{col 67}{space 4}-.0702749{col 80}{space 3} .0802017
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0090463{col 39}{space 2} .0079779{col 50}{space 1}   -1.13{col 59}{space 3}0.257{col 67}{space 4}-.0246827{col 80}{space 3} .0065901
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} -.008118{col 39}{space 2} .0336036{col 50}{space 1}   -0.24{col 59}{space 3}0.809{col 67}{space 4}-.0739802{col 80}{space 3} .0577441
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}-.0081635{col 39}{space 2}  .004596{col 50}{space 1}   -1.78{col 59}{space 3}0.076{col 67}{space 4}-.0171715{col 80}{space 3} .0008445
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0112399{col 39}{space 2} .0278117{col 50}{space 1}    0.40{col 59}{space 3}0.686{col 67}{space 4}-.0432703{col 80}{space 3} .0657502
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2}  .006449{col 39}{space 2} .0087116{col 50}{space 1}    0.74{col 59}{space 3}0.459{col 67}{space 4}-.0106255{col 80}{space 3} .0235235
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0765465{col 39}{space 2} .0388857{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0003316{col 80}{space 3} .1527613
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0048054{col 39}{space 2}  .005572{col 50}{space 1}   -0.86{col 59}{space 3}0.388{col 67}{space 4}-.0157264{col 80}{space 3} .0061157
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} -.041835{col 39}{space 2} .0316584{col 50}{space 1}   -1.32{col 59}{space 3}0.186{col 67}{space 4}-.1038845{col 80}{space 3} .0202145
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}-.0005138{col 39}{space 2} .0181059{col 50}{space 1}   -0.03{col 59}{space 3}0.977{col 67}{space 4} -.036001{col 80}{space 3} .0349733
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0715216{col 39}{space 2} .1266872{col 50}{space 1}    0.56{col 59}{space 3}0.572{col 67}{space 4}-.1767818{col 80}{space 3} .3198249
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0114216{col 39}{space 2} .0047231{col 50}{space 1}    2.42{col 59}{space 3}0.016{col 67}{space 4} .0021645{col 80}{space 3} .0206787
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}  .011259{col 39}{space 2} .0250586{col 50}{space 1}    0.45{col 59}{space 3}0.653{col 67}{space 4}-.0378551{col 80}{space 3} .0603731
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0016169{col 39}{space 2} .0065997{col 50}{space 1}    0.24{col 59}{space 3}0.806{col 67}{space 4}-.0113183{col 80}{space 3} .0145521
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0074409{col 39}{space 2} .0326174{col 50}{space 1}   -0.23{col 59}{space 3}0.820{col 67}{space 4}-.0713701{col 80}{space 3} .0564883
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0150019{col 39}{space 2} .0130583{col 50}{space 1}    1.15{col 59}{space 3}0.251{col 67}{space 4}-.0105921{col 80}{space 3} .0405959
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1407324{col 39}{space 2} .0843823{col 50}{space 1}   -1.67{col 59}{space 3}0.095{col 67}{space 4}-.3061194{col 80}{space 3} .0246546
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0510913{col 39}{space 2} .1158914{col 50}{space 1}    0.44{col 59}{space 3}0.659{col 67}{space 4}-.1760527{col 80}{space 3} .2782353
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .4497914{col 39}{space 2} .2082188{col 50}{space 1}    2.16{col 59}{space 3}0.031{col 67}{space 4} .0416883{col 80}{space 3} .8578945
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0040231{col 39}{space 2} .0104531{col 50}{space 1}   -0.38{col 59}{space 3}0.700{col 67}{space 4}-.0245109{col 80}{space 3} .0164648
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0013814{col 39}{space 2}  .054393{col 50}{space 1}   -0.03{col 59}{space 3}0.980{col 67}{space 4}-.1079901{col 80}{space 3} .1052272
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0129423{col 39}{space 2} .0067162{col 50}{space 1}   -1.93{col 59}{space 3}0.054{col 67}{space 4}-.0261059{col 80}{space 3} .0002213
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2}-.0667097{col 39}{space 2} .0501916{col 50}{space 1}   -1.33{col 59}{space 3}0.184{col 67}{space 4}-.1650838{col 80}{space 3} .0316645
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0033025{col 39}{space 2} .0052091{col 50}{space 1}   -0.63{col 59}{space 3}0.526{col 67}{space 4}-.0135122{col 80}{space 3} .0069071
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0029643{col 39}{space 2} .0318121{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.0653152{col 80}{space 3} .0593865
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}  .002023{col 39}{space 2} .0044755{col 50}{space 1}    0.45{col 59}{space 3}0.651{col 67}{space 4}-.0067489{col 80}{space 3} .0107949
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0387435{col 39}{space 2} .0218715{col 50}{space 1}    1.77{col 59}{space 3}0.076{col 67}{space 4} -.004124{col 80}{space 3}  .081611
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0094541{col 39}{space 2} .0033368{col 50}{space 1}    2.83{col 59}{space 3}0.005{col 67}{space 4} .0029141{col 80}{space 3}  .015994
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0094926{col 39}{space 2} .0185598{col 50}{space 1}   -0.51{col 59}{space 3}0.609{col 67}{space 4}-.0458693{col 80}{space 3} .0268841
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0190768{col 39}{space 2} .0266273{col 50}{space 1}   -0.72{col 59}{space 3}0.474{col 67}{space 4}-.0712655{col 80}{space 3}  .033112
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}  .119081{col 39}{space 2}  .149377{col 50}{space 1}    0.80{col 59}{space 3}0.425{col 67}{space 4}-.1736937{col 80}{space 3} .4118557
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}  .009419{col 39}{space 2} .0154574{col 50}{space 1}    0.61{col 59}{space 3}0.542{col 67}{space 4}-.0208771{col 80}{space 3} .0397151
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} -.058382{col 39}{space 2} .0834886{col 50}{space 1}   -0.70{col 59}{space 3}0.484{col 67}{space 4}-.2220173{col 80}{space 3} .1052534
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0002198{col 39}{space 2} .0127053{col 50}{space 1}   -0.02{col 59}{space 3}0.986{col 67}{space 4}-.0251218{col 80}{space 3} .0246822
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0026371{col 39}{space 2} .0551335{col 50}{space 1}   -0.05{col 59}{space 3}0.962{col 67}{space 4}-.1106973{col 80}{space 3} .1054231
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0118063{col 39}{space 2} .0088613{col 50}{space 1}    1.33{col 59}{space 3}0.183{col 67}{space 4}-.0055616{col 80}{space 3} .0291742
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0262923{col 39}{space 2}  .046804{col 50}{space 1}   -0.56{col 59}{space 3}0.574{col 67}{space 4}-.1180269{col 80}{space 3} .0654423
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0001318{col 39}{space 2} .0000383{col 50}{space 1}   -3.45{col 59}{space 3}0.001{col 67}{space 4}-.0002068{col 80}{space 3}-.0000568
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 2.13e-06{col 39}{space 2} 2.96e-07{col 50}{space 1}    7.19{col 59}{space 3}0.000{col 67}{space 4} 1.55e-06{col 80}{space 3} 2.71e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0141121{col 39}{space 2}  .001208{col 50}{space 1}   11.68{col 59}{space 3}0.000{col 67}{space 4} .0117444{col 80}{space 3} .0164798
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0009742{col 39}{space 2} .0005421{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0000883{col 80}{space 3} .0020367
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0093193{col 39}{space 2} .0014799{col 50}{space 1}    6.30{col 59}{space 3}0.000{col 67}{space 4} .0064189{col 80}{space 3} .0122198
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0001063{col 39}{space 2} .0000197{col 50}{space 1}   -5.40{col 59}{space 3}0.000{col 67}{space 4}-.0001449{col 80}{space 3}-.0000677
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 3.63e-06{col 39}{space 2} 1.22e-07{col 50}{space 1}   29.80{col 59}{space 3}0.000{col 67}{space 4} 3.39e-06{col 80}{space 3} 3.87e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0105952{col 39}{space 2} .0003663{col 50}{space 1}   28.92{col 59}{space 3}0.000{col 67}{space 4} .0098772{col 80}{space 3} .0113132
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0016181{col 39}{space 2} .0001821{col 50}{space 1}    8.89{col 59}{space 3}0.000{col 67}{space 4} .0012611{col 80}{space 3}  .001975
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4189358{col 39}{space 2} .0018141{col 50}{space 1}  230.93{col 59}{space 3}0.000{col 67}{space 4} .4153802{col 80}{space 3} .4224915
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .4429889{col 39}{space 2} .1098458{col 50}{space 1}    4.03{col 59}{space 3}0.000{col 67}{space 4} .2276942{col 80}{space 3} .6582836
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. *first stage
. reghdfe WP_Voted2018 WP_Relative_Voted2010 $main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,509,005
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 286426{txt}){col 67}= {res}    390.24
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1025
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0988
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0838
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   286,427{txt}{col 51}Root MSE{col 67}= {res}    0.1235

{txt}{ralign 91:(Std. err. adjusted for {res:286,427} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0708689{col 39}{space 2} .0017914{col 50}{space 1}   39.56{col 59}{space 3}0.000{col 67}{space 4} .0673578{col 80}{space 3}   .07438
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0024202{col 39}{space 2} .0004878{col 50}{space 1}    4.96{col 59}{space 3}0.000{col 67}{space 4} .0014643{col 80}{space 3} .0033762
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0056587{col 39}{space 2} .0004744{col 50}{space 1}   11.93{col 59}{space 3}0.000{col 67}{space 4}  .004729{col 80}{space 3} .0065885
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0016324{col 39}{space 2} .0006694{col 50}{space 1}    2.44{col 59}{space 3}0.015{col 67}{space 4} .0003205{col 80}{space 3} .0029443
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2} .1815981{col 39}{space 2} .1395341{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.0918848{col 80}{space 3}  .455081
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .1745638{col 39}{space 2}  .139562{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4}-.0989739{col 80}{space 3} .4481015
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .1664281{col 39}{space 2} .1394609{col 50}{space 1}    1.19{col 59}{space 3}0.233{col 67}{space 4}-.1069113{col 80}{space 3} .4397675
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1170682{col 39}{space 2} .1396147{col 50}{space 1}    0.84{col 59}{space 3}0.402{col 67}{space 4}-.1565726{col 80}{space 3} .3907091
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .1243462{col 39}{space 2} .1394847{col 50}{space 1}    0.89{col 59}{space 3}0.373{col 67}{space 4}  -.14904{col 80}{space 3} .3977324
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .0900203{col 39}{space 2} .1404004{col 50}{space 1}    0.64{col 59}{space 3}0.521{col 67}{space 4}-.1851606{col 80}{space 3} .3652011
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .1158435{col 39}{space 2} .1394639{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}-.1575019{col 80}{space 3} .3891889
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .1159791{col 39}{space 2} .1395234{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}-.1574828{col 80}{space 3}  .389441
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .0358423{col 39}{space 2} .1398978{col 50}{space 1}    0.26{col 59}{space 3}0.798{col 67}{space 4}-.2383536{col 80}{space 3} .3100381
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .2221019{col 39}{space 2} .1517091{col 50}{space 1}    1.46{col 59}{space 3}0.143{col 67}{space 4}-.0752437{col 80}{space 3} .5194475
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .1815847{col 39}{space 2} .1397201{col 50}{space 1}    1.30{col 59}{space 3}0.194{col 67}{space 4}-.0922629{col 80}{space 3} .4554322
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .1890567{col 39}{space 2} .1395289{col 50}{space 1}    1.35{col 59}{space 3}0.175{col 67}{space 4}-.0844161{col 80}{space 3} .4625294
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .1899677{col 39}{space 2} .1394636{col 50}{space 1}    1.36{col 59}{space 3}0.173{col 67}{space 4}-.0833771{col 80}{space 3} .4633125
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .1866309{col 39}{space 2} .1394457{col 50}{space 1}    1.34{col 59}{space 3}0.181{col 67}{space 4}-.0866788{col 80}{space 3} .4599406
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .1494184{col 39}{space 2}  .139425{col 50}{space 1}    1.07{col 59}{space 3}0.284{col 67}{space 4}-.1238506{col 80}{space 3} .4226875
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .1016744{col 39}{space 2} .1416021{col 50}{space 1}    0.72{col 59}{space 3}0.473{col 67}{space 4}-.1758619{col 80}{space 3} .3792107
{txt}{space 22}18  {c |}{col 27}{res}{space 2}  .158985{col 39}{space 2} .1399578{col 50}{space 1}    1.14{col 59}{space 3}0.256{col 67}{space 4}-.1153283{col 80}{space 3} .4332984
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1591765{col 39}{space 2} .1397394{col 50}{space 1}    1.14{col 59}{space 3}0.255{col 67}{space 4}-.1147088{col 80}{space 3} .4330617
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1254862{col 39}{space 2} .1396131{col 50}{space 1}    0.90{col 59}{space 3}0.369{col 67}{space 4}-.1481517{col 80}{space 3}  .399124
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .1908453{col 39}{space 2} .1395795{col 50}{space 1}    1.37{col 59}{space 3}0.172{col 67}{space 4}-.0827266{col 80}{space 3} .4644172
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2090782{col 39}{space 2} .1394039{col 50}{space 1}    1.50{col 59}{space 3}0.134{col 67}{space 4}-.0641496{col 80}{space 3}  .482306
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2076117{col 39}{space 2} .1394029{col 50}{space 1}    1.49{col 59}{space 3}0.136{col 67}{space 4}-.0656142{col 80}{space 3} .4808376
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2040471{col 39}{space 2} .1394036{col 50}{space 1}    1.46{col 59}{space 3}0.143{col 67}{space 4}-.0691801{col 80}{space 3} .4772744
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .1924851{col 39}{space 2}  .139417{col 50}{space 1}    1.38{col 59}{space 3}0.167{col 67}{space 4}-.0807683{col 80}{space 3} .4657386
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .1891406{col 39}{space 2} .1394147{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0841083{col 80}{space 3} .4623895
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .1818937{col 39}{space 2} .1397775{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.0920663{col 80}{space 3} .4558538
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .1838905{col 39}{space 2} .1394287{col 50}{space 1}    1.32{col 59}{space 3}0.187{col 67}{space 4}-.0893859{col 80}{space 3}  .457167
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .1769482{col 39}{space 2} .1394255{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4} -.096322{col 80}{space 3} .4502184
{txt}{space 22}30  {c |}{col 27}{res}{space 2}   .17131{col 39}{space 2} .1395694{col 50}{space 1}    1.23{col 59}{space 3}0.220{col 67}{space 4}-.1022422{col 80}{space 3} .4448622
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2198106{col 39}{space 2} .1395814{col 50}{space 1}    1.57{col 59}{space 3}0.115{col 67}{space 4} -.053765{col 80}{space 3} .4933863
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2140178{col 39}{space 2} .1394033{col 50}{space 1}    1.54{col 59}{space 3}0.125{col 67}{space 4}-.0592089{col 80}{space 3} .4872445
{txt}{space 22}33  {c |}{col 27}{res}{space 2}  .216959{col 39}{space 2} .1394023{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4}-.0562656{col 80}{space 3} .4901836
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2170096{col 39}{space 2} .1394032{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4}-.0562167{col 80}{space 3} .4902359
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2124348{col 39}{space 2} .1394054{col 50}{space 1}    1.52{col 59}{space 3}0.128{col 67}{space 4}-.0607959{col 80}{space 3} .4856655
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2020333{col 39}{space 2} .1394061{col 50}{space 1}    1.45{col 59}{space 3}0.147{col 67}{space 4}-.0711989{col 80}{space 3} .4752654
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2062524{col 39}{space 2} .1395905{col 50}{space 1}    1.48{col 59}{space 3}0.140{col 67}{space 4}-.0673411{col 80}{space 3}  .479846
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2206263{col 39}{space 2} .1394931{col 50}{space 1}    1.58{col 59}{space 3}0.114{col 67}{space 4}-.0527764{col 80}{space 3}  .494029
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2008387{col 39}{space 2} .1394768{col 50}{space 1}    1.44{col 59}{space 3}0.150{col 67}{space 4} -.072532{col 80}{space 3} .4742094
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .1961439{col 39}{space 2} .1395353{col 50}{space 1}    1.41{col 59}{space 3}0.160{col 67}{space 4}-.0773414{col 80}{space 3} .4696291
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .2208365{col 39}{space 2} .1524251{col 50}{space 1}    1.45{col 59}{space 3}0.147{col 67}{space 4}-.0779125{col 80}{space 3} .5195855
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} .1326065{col 39}{space 2} .2291969{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.3166132{col 80}{space 3} .5818261
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0115429{col 39}{space 2} .0070557{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4} -.002286{col 80}{space 3} .0253718
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0768389{col 39}{space 2} .0299036{col 50}{space 1}    2.57{col 59}{space 3}0.010{col 67}{space 4} .0182286{col 80}{space 3} .1354491
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}  .013128{col 39}{space 2} .0077897{col 50}{space 1}    1.69{col 59}{space 3}0.092{col 67}{space 4}-.0021396{col 80}{space 3} .0283957
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0877111{col 39}{space 2} .0279793{col 50}{space 1}    3.13{col 59}{space 3}0.002{col 67}{space 4} .0328724{col 80}{space 3} .1425498
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0143831{col 39}{space 2} .0049056{col 50}{space 1}    2.93{col 59}{space 3}0.003{col 67}{space 4} .0047683{col 80}{space 3} .0239979
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}-.0079901{col 39}{space 2} .0366916{col 50}{space 1}   -0.22{col 59}{space 3}0.828{col 67}{space 4}-.0799046{col 80}{space 3} .0639243
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0208834{col 39}{space 2} .0094986{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .0022664{col 80}{space 3} .0395004
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0633223{col 39}{space 2} .0555502{col 50}{space 1}   -1.14{col 59}{space 3}0.254{col 67}{space 4}-.1721992{col 80}{space 3} .0455546
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0179873{col 39}{space 2} .0058461{col 50}{space 1}    3.08{col 59}{space 3}0.002{col 67}{space 4} .0065292{col 80}{space 3} .0294454
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0252048{col 39}{space 2} .0355418{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4}-.0444562{col 80}{space 3} .0948658
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0304307{col 39}{space 2} .0205724{col 50}{space 1}    1.48{col 59}{space 3}0.139{col 67}{space 4}-.0098906{col 80}{space 3}  .070752
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .1407078{col 39}{space 2} .0999562{col 50}{space 1}    1.41{col 59}{space 3}0.159{col 67}{space 4}-.0552035{col 80}{space 3} .3366191
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0262042{col 39}{space 2} .0052212{col 50}{space 1}    5.02{col 59}{space 3}0.000{col 67}{space 4} .0159707{col 80}{space 3} .0364376
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} .0128712{col 39}{space 2} .0284919{col 50}{space 1}    0.45{col 59}{space 3}0.651{col 67}{space 4} -.042972{col 80}{space 3} .0687145
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0060139{col 39}{space 2} .0075573{col 50}{space 1}    0.80{col 59}{space 3}0.426{col 67}{space 4}-.0087982{col 80}{space 3}  .020826
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0497048{col 39}{space 2} .0476754{col 50}{space 1}   -1.04{col 59}{space 3}0.297{col 67}{space 4}-.1431473{col 80}{space 3} .0437377
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0601303{col 39}{space 2} .0144782{col 50}{space 1}    4.15{col 59}{space 3}0.000{col 67}{space 4} .0317533{col 80}{space 3} .0885072
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}  .028046{col 39}{space 2} .0755744{col 50}{space 1}    0.37{col 59}{space 3}0.711{col 67}{space 4}-.1200778{col 80}{space 3} .1761698
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.0182933{col 39}{space 2} .0622879{col 50}{space 1}   -0.29{col 59}{space 3}0.769{col 67}{space 4}-.1403758{col 80}{space 3} .1037892
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .4418432{col 39}{space 2} .3166894{col 50}{space 1}    1.40{col 59}{space 3}0.163{col 67}{space 4}-.1788593{col 80}{space 3} 1.062546
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0257931{col 39}{space 2} .0112076{col 50}{space 1}    2.30{col 59}{space 3}0.021{col 67}{space 4} .0038267{col 80}{space 3} .0477596
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0024151{col 39}{space 2} .0512086{col 50}{space 1}   -0.05{col 59}{space 3}0.962{col 67}{space 4}-.1027826{col 80}{space 3} .0979524
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0144965{col 39}{space 2} .0072163{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0003527{col 80}{space 3} .0286404
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0154018{col 39}{space 2} .0313889{col 50}{space 1}    0.49{col 59}{space 3}0.624{col 67}{space 4}-.0461196{col 80}{space 3} .0769232
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0090376{col 39}{space 2} .0050775{col 50}{space 1}    1.78{col 59}{space 3}0.075{col 67}{space 4}-.0009141{col 80}{space 3} .0189893
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0047465{col 39}{space 2} .0274698{col 50}{space 1}    0.17{col 59}{space 3}0.863{col 67}{space 4}-.0490936{col 80}{space 3} .0585866
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}  .006977{col 39}{space 2} .0044724{col 50}{space 1}    1.56{col 59}{space 3}0.119{col 67}{space 4}-.0017887{col 80}{space 3} .0157427
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}-.0048254{col 39}{space 2} .0219895{col 50}{space 1}   -0.22{col 59}{space 3}0.826{col 67}{space 4}-.0479242{col 80}{space 3} .0382733
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0160228{col 39}{space 2}  .003356{col 50}{space 1}    4.77{col 59}{space 3}0.000{col 67}{space 4} .0094452{col 80}{space 3} .0226004
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0033912{col 39}{space 2} .0177145{col 50}{space 1}   -0.19{col 59}{space 3}0.848{col 67}{space 4} -.038111{col 80}{space 3} .0313286
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0392932{col 39}{space 2} .0303426{col 50}{space 1}    1.29{col 59}{space 3}0.195{col 67}{space 4}-.0201775{col 80}{space 3} .0987639
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}-.3173641{col 39}{space 2} .2667609{col 50}{space 1}   -1.19{col 59}{space 3}0.234{col 67}{space 4}-.8402079{col 80}{space 3} .2054798
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}  .011717{col 39}{space 2} .0164636{col 50}{space 1}    0.71{col 59}{space 3}0.477{col 67}{space 4}-.0205512{col 80}{space 3} .0439853
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0212691{col 39}{space 2} .1230203{col 50}{space 1}    0.17{col 59}{space 3}0.863{col 67}{space 4}-.2198472{col 80}{space 3} .2623854
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0006895{col 39}{space 2} .0132287{col 50}{space 1}   -0.05{col 59}{space 3}0.958{col 67}{space 4}-.0266174{col 80}{space 3} .0252383
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} .0243698{col 39}{space 2} .0578154{col 50}{space 1}    0.42{col 59}{space 3}0.673{col 67}{space 4}-.0889469{col 80}{space 3} .1376864
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0086357{col 39}{space 2} .0096634{col 50}{space 1}    0.89{col 59}{space 3}0.372{col 67}{space 4}-.0103043{col 80}{space 3} .0275757
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0805212{col 39}{space 2} .0553239{col 50}{space 1}   -1.46{col 59}{space 3}0.146{col 67}{space 4}-.1889545{col 80}{space 3} .0279121
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000334{col 39}{space 2} .0000346{col 50}{space 1}   -0.96{col 59}{space 3}0.335{col 67}{space 4}-.0001013{col 80}{space 3} .0000345
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2}-1.73e-06{col 39}{space 2} 2.59e-07{col 50}{space 1}   -6.68{col 59}{space 3}0.000{col 67}{space 4}-2.24e-06{col 80}{space 3}-1.22e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0053313{col 39}{space 2} .0012159{col 50}{space 1}    4.38{col 59}{space 3}0.000{col 67}{space 4} .0029483{col 80}{space 3} .0077144
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0065741{col 39}{space 2}  .000529{col 50}{space 1}  -12.43{col 59}{space 3}0.000{col 67}{space 4}-.0076109{col 80}{space 3}-.0055372
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0106874{col 39}{space 2} .0014535{col 50}{space 1}    7.35{col 59}{space 3}0.000{col 67}{space 4} .0078386{col 80}{space 3} .0135363
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0001173{col 39}{space 2} .0000128{col 50}{space 1}    9.18{col 59}{space 3}0.000{col 67}{space 4} .0000922{col 80}{space 3} .0001423
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.79e-06{col 39}{space 2} 8.67e-08{col 50}{space 1}   20.59{col 59}{space 3}0.000{col 67}{space 4} 1.62e-06{col 80}{space 3} 1.96e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0018666{col 39}{space 2} .0002309{col 50}{space 1}    8.09{col 59}{space 3}0.000{col 67}{space 4} .0014141{col 80}{space 3} .0023191
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2}  .000178{col 39}{space 2} .0001101{col 50}{space 1}    1.62{col 59}{space 3}0.106{col 67}{space 4}-.0000377{col 80}{space 3} .0003937
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0133458{col 39}{space 2} .0009111{col 50}{space 1}   14.65{col 59}{space 3}0.000{col 67}{space 4} .0115601{col 80}{space 3} .0151315
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6847082{col 39}{space 2} .1394152{col 50}{space 1}    4.91{col 59}{space 3}0.000{col 67}{space 4} .4114583{col 80}{space 3} .9579582
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. *reduced form
. reghdfe Voted2022 WP_Relative_Voted2010 $main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,509,005
{txt}Absorbing 1 HDFE group{col 51}F({res}  93{txt},{res} 286426{txt}){col 67}= {res}   1113.71
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2388
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2357
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2256
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   286,427{txt}{col 51}Root MSE{col 67}= {res}    0.2097

{txt}{ralign 91:(Std. err. adjusted for {res:286,427} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0067855{col 39}{space 2} .0015474{col 50}{space 1}    4.38{col 59}{space 3}0.000{col 67}{space 4} .0037526{col 80}{space 3} .0098185
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0233344{col 39}{space 2} .0009063{col 50}{space 1}   25.75{col 59}{space 3}0.000{col 67}{space 4}  .021558{col 80}{space 3} .0251108
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1220748{col 39}{space 2} .0011071{col 50}{space 1}  110.26{col 59}{space 3}0.000{col 67}{space 4} .1199049{col 80}{space 3} .1242447
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1052103{col 39}{space 2} .0013496{col 50}{space 1}   77.96{col 59}{space 3}0.000{col 67}{space 4} .1025651{col 80}{space 3} .1078555
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}2  {c |}{col 27}{res}{space 2}-.0491166{col 39}{space 2} .1113058{col 50}{space 1}   -0.44{col 59}{space 3}0.659{col 67}{space 4}-.2672729{col 80}{space 3} .1690397
{txt}{space 23}3  {c |}{col 27}{res}{space 2} -.042293{col 39}{space 2} .1113873{col 50}{space 1}   -0.38{col 59}{space 3}0.704{col 67}{space 4} -.260609{col 80}{space 3} .1760229
{txt}{space 23}4  {c |}{col 27}{res}{space 2}-.0429193{col 39}{space 2} .1112419{col 50}{space 1}   -0.39{col 59}{space 3}0.700{col 67}{space 4}-.2609503{col 80}{space 3} .1751118
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-.0746252{col 39}{space 2} .1114002{col 50}{space 1}   -0.67{col 59}{space 3}0.503{col 67}{space 4}-.2929664{col 80}{space 3} .1437161
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0641601{col 39}{space 2} .1112718{col 50}{space 1}   -0.58{col 59}{space 3}0.564{col 67}{space 4}-.2822498{col 80}{space 3} .1539295
{txt}{space 23}7  {c |}{col 27}{res}{space 2}-.0763038{col 39}{space 2} .1120678{col 50}{space 1}   -0.68{col 59}{space 3}0.496{col 67}{space 4}-.2959537{col 80}{space 3}  .143346
{txt}{space 23}8  {c |}{col 27}{res}{space 2}-.0696834{col 39}{space 2} .1112408{col 50}{space 1}   -0.63{col 59}{space 3}0.531{col 67}{space 4}-.2877123{col 80}{space 3} .1483456
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0627825{col 39}{space 2} .1112928{col 50}{space 1}   -0.56{col 59}{space 3}0.573{col 67}{space 4}-.2809133{col 80}{space 3} .1553482
{txt}{space 22}10  {c |}{col 27}{res}{space 2} -.102676{col 39}{space 2} .1116814{col 50}{space 1}   -0.92{col 59}{space 3}0.358{col 67}{space 4}-.3215685{col 80}{space 3} .1162165
{txt}{space 22}11  {c |}{col 27}{res}{space 2}-.0558665{col 39}{space 2} .1515716{col 50}{space 1}   -0.37{col 59}{space 3}0.712{col 67}{space 4}-.3529428{col 80}{space 3} .2412097
{txt}{space 22}12  {c |}{col 27}{res}{space 2}-.0409347{col 39}{space 2} .1115174{col 50}{space 1}   -0.37{col 59}{space 3}0.714{col 67}{space 4}-.2595057{col 80}{space 3} .1776362
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{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.0621333{col 39}{space 2} .1112086{col 50}{space 1}   -0.56{col 59}{space 3}0.576{col 67}{space 4} -.280099{col 80}{space 3} .1558324
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0435188{col 39}{space 2} .1132017{col 50}{space 1}   -0.38{col 59}{space 3}0.701{col 67}{space 4} -.265391{col 80}{space 3} .1783533
{txt}{space 22}18  {c |}{col 27}{res}{space 2}-.0604999{col 39}{space 2} .1117699{col 50}{space 1}   -0.54{col 59}{space 3}0.588{col 67}{space 4}-.2795658{col 80}{space 3}  .158566
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{txt}{space 22}37  {c |}{col 27}{res}{space 2}-.0250238{col 39}{space 2} .1114043{col 50}{space 1}   -0.22{col 59}{space 3}0.822{col 67}{space 4}-.2433732{col 80}{space 3} .1933255
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{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0402356{col 39}{space 2}  .111297{col 50}{space 1}   -0.36{col 59}{space 3}0.718{col 67}{space 4}-.2583745{col 80}{space 3} .1779034
{txt}{space 22}40  {c |}{col 27}{res}{space 2}-.0286156{col 39}{space 2} .1113418{col 50}{space 1}   -0.26{col 59}{space 3}0.797{col 67}{space 4}-.2468426{col 80}{space 3} .1896113
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}-.0653955{col 39}{space 2} .1282241{col 50}{space 1}   -0.51{col 59}{space 3}0.610{col 67}{space 4}-.3167111{col 80}{space 3} .1859201
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-.0713017{col 39}{space 2} .1158156{col 50}{space 1}   -0.62{col 59}{space 3}0.538{col 67}{space 4} -.298297{col 80}{space 3} .1556936
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0025758{col 39}{space 2}  .006288{col 50}{space 1}    0.41{col 59}{space 3}0.682{col 67}{space 4}-.0097484{col 80}{space 3}    .0149
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0070636{col 39}{space 2} .0386016{col 50}{space 1}    0.18{col 59}{space 3}0.855{col 67}{space 4}-.0685944{col 80}{space 3} .0827216
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0090691{col 39}{space 2} .0079881{col 50}{space 1}   -1.14{col 59}{space 3}0.256{col 67}{space 4}-.0247256{col 80}{space 3} .0065874
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0015139{col 39}{space 2} .0336702{col 50}{space 1}   -0.04{col 59}{space 3}0.964{col 67}{space 4}-.0675066{col 80}{space 3} .0644788
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}-.0081569{col 39}{space 2} .0045958{col 50}{space 1}   -1.77{col 59}{space 3}0.076{col 67}{space 4}-.0171646{col 80}{space 3} .0008507
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0124164{col 39}{space 2}  .027779{col 50}{space 1}    0.45{col 59}{space 3}0.655{col 67}{space 4}-.0420297{col 80}{space 3} .0668625
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0062777{col 39}{space 2} .0087239{col 50}{space 1}    0.72{col 59}{space 3}0.472{col 67}{space 4} -.010821{col 80}{space 3} .0233763
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}  .075087{col 39}{space 2} .0387879{col 50}{space 1}    1.94{col 59}{space 3}0.053{col 67}{space 4}-.0009362{col 80}{space 3} .1511103
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} -.005049{col 39}{space 2} .0055721{col 50}{space 1}   -0.91{col 59}{space 3}0.365{col 67}{space 4}-.0159702{col 80}{space 3} .0058722
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0410666{col 39}{space 2} .0316411{col 50}{space 1}   -1.30{col 59}{space 3}0.194{col 67}{space 4}-.1030824{col 80}{space 3} .0209491
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0000197{col 39}{space 2} .0181164{col 50}{space 1}    0.00{col 59}{space 3}0.999{col 67}{space 4}-.0354879{col 80}{space 3} .0355273
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0776357{col 39}{space 2} .1269186{col 50}{space 1}    0.61{col 59}{space 3}0.541{col 67}{space 4}-.1711213{col 80}{space 3} .3263926
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0113491{col 39}{space 2} .0047245{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0020893{col 80}{space 3}  .020609
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}  .013267{col 39}{space 2} .0250555{col 50}{space 1}    0.53{col 59}{space 3}0.596{col 67}{space 4}-.0358411{col 80}{space 3} .0623752
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0015692{col 39}{space 2} .0066005{col 50}{space 1}    0.24{col 59}{space 3}0.812{col 67}{space 4}-.0113676{col 80}{space 3}  .014506
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0063405{col 39}{space 2} .0325499{col 50}{space 1}   -0.19{col 59}{space 3}0.846{col 67}{space 4}-.0701375{col 80}{space 3} .0574565
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}  .015068{col 39}{space 2} .0131016{col 50}{space 1}    1.15{col 59}{space 3}0.250{col 67}{space 4}-.0106107{col 80}{space 3} .0407468
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1384042{col 39}{space 2} .0843816{col 50}{space 1}   -1.64{col 59}{space 3}0.101{col 67}{space 4}-.3037898{col 80}{space 3} .0269815
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0575493{col 39}{space 2} .1164818{col 50}{space 1}    0.49{col 59}{space 3}0.621{col 67}{space 4}-.1707517{col 80}{space 3} .2858503
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .4376143{col 39}{space 2} .2108577{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0243391{col 80}{space 3} .8508895
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0043946{col 39}{space 2} .0104719{col 50}{space 1}   -0.42{col 59}{space 3}0.675{col 67}{space 4}-.0249192{col 80}{space 3}   .01613
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0011812{col 39}{space 2} .0541467{col 50}{space 1}   -0.02{col 59}{space 3}0.983{col 67}{space 4}-.1073073{col 80}{space 3} .1049449
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0132212{col 39}{space 2} .0067171{col 50}{space 1}   -1.97{col 59}{space 3}0.049{col 67}{space 4}-.0263866{col 80}{space 3}-.0000559
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2}-.0641901{col 39}{space 2} .0503293{col 50}{space 1}   -1.28{col 59}{space 3}0.202{col 67}{space 4}-.1628342{col 80}{space 3}  .034454
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0035375{col 39}{space 2} .0052115{col 50}{space 1}   -0.68{col 59}{space 3}0.497{col 67}{space 4}-.0137518{col 80}{space 3} .0066768
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{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0396371{col 39}{space 2} .0219173{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0033202{col 80}{space 3} .0825945
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{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0082454{col 39}{space 2} .0185457{col 50}{space 1}   -0.44{col 59}{space 3}0.657{col 67}{space 4}-.0445945{col 80}{space 3} .0281036
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{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1133221{col 39}{space 2} .1480026{col 50}{space 1}    0.77{col 59}{space 3}0.444{col 67}{space 4}-.1767589{col 80}{space 3} .4034031
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0090684{col 39}{space 2} .0153894{col 50}{space 1}    0.59{col 59}{space 3}0.556{col 67}{space 4}-.0210945{col 80}{space 3} .0392312
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}-.0549754{col 39}{space 2} .0845263{col 50}{space 1}   -0.65{col 59}{space 3}0.515{col 67}{space 4}-.2206446{col 80}{space 3} .1106939
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0000912{col 39}{space 2} .0127332{col 50}{space 1}   -0.01{col 59}{space 3}0.994{col 67}{space 4}-.0250478{col 80}{space 3} .0248654
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} .0003037{col 39}{space 2} .0550201{col 50}{space 1}    0.01{col 59}{space 3}0.996{col 67}{space 4}-.1075342{col 80}{space 3} .1081416
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0113581{col 39}{space 2} .0088526{col 50}{space 1}    1.28{col 59}{space 3}0.199{col 67}{space 4}-.0059927{col 80}{space 3}  .028709
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0253155{col 39}{space 2} .0467206{col 50}{space 1}   -0.54{col 59}{space 3}0.588{col 67}{space 4}-.1168865{col 80}{space 3} .0662555
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0001442{col 39}{space 2} .0000383{col 50}{space 1}   -3.77{col 59}{space 3}0.000{col 67}{space 4}-.0002192{col 80}{space 3}-.0000691
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 2.43e-06{col 39}{space 2} 2.97e-07{col 50}{space 1}    8.18{col 59}{space 3}0.000{col 67}{space 4} 1.85e-06{col 80}{space 3} 3.01e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0136696{col 39}{space 2} .0012157{col 50}{space 1}   11.24{col 59}{space 3}0.000{col 67}{space 4} .0112869{col 80}{space 3} .0160524
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0008184{col 39}{space 2} .0005421{col 50}{space 1}    1.51{col 59}{space 3}0.131{col 67}{space 4}-.0002441{col 80}{space 3} .0018809
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0060624{col 39}{space 2} .0014815{col 50}{space 1}    4.09{col 59}{space 3}0.000{col 67}{space 4} .0031587{col 80}{space 3} .0089662
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} -.000104{col 39}{space 2} .0000197{col 50}{space 1}   -5.28{col 59}{space 3}0.000{col 67}{space 4}-.0001426{col 80}{space 3}-.0000655
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 3.73e-06{col 39}{space 2} 1.22e-07{col 50}{space 1}   30.63{col 59}{space 3}0.000{col 67}{space 4} 3.49e-06{col 80}{space 3} 3.97e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0105308{col 39}{space 2} .0003662{col 50}{space 1}   28.75{col 59}{space 3}0.000{col 67}{space 4}  .009813{col 80}{space 3} .0112486
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0015849{col 39}{space 2} .0001821{col 50}{space 1}    8.71{col 59}{space 3}0.000{col 67}{space 4} .0012281{col 80}{space 3} .0019418
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4181956{col 39}{space 2} .0018145{col 50}{space 1}  230.48{col 59}{space 3}0.000{col 67}{space 4} .4146393{col 80}{space 3} .4217519
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .4377584{col 39}{space 2}  .111208{col 50}{space 1}    3.94{col 59}{space 3}0.000{col 67}{space 4} .2197938{col 80}{space 3} .6557231
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. * 2SLS with individual IV
. ivreghdfe Voted2022  $main_controls (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) first
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}First-stage regressions
{hline 23}


First-stage regression of WP_Voted2018:

Statistics robust to heteroskedasticity and clustering on WP_HPG_id
Number of obs = {col 31}{res} 1509005
{txt}Number of clusters (WP_HPG_id) = {col 33}{res}286427
{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}             WP_Voted2018{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}WP_Relative_Voted2010 {c |}{col 27}{res}{space 2} .0708689{col 39}{space 2} .0017914{col 50}{space 1}   39.56{col 59}{space 3}0.000{col 67}{space 4} .0673578{col 80}{space 3}   .07438
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0024202{col 39}{space 2} .0004878{col 50}{space 1}    4.96{col 59}{space 3}0.000{col 67}{space 4} .0014643{col 80}{space 3} .0033762
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .0056587{col 39}{space 2} .0004744{col 50}{space 1}   11.93{col 59}{space 3}0.000{col 67}{space 4}  .004729{col 80}{space 3} .0065885
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .0016324{col 39}{space 2} .0006694{col 50}{space 1}    2.44{col 59}{space 3}0.015{col 67}{space 4} .0003205{col 80}{space 3} .0029443
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .1815981{col 39}{space 2} .1395341{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.0918838{col 80}{space 3}   .45508
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .1745638{col 39}{space 2}  .139562{col 50}{space 1}    1.25{col 59}{space 3}0.211{col 67}{space 4} -.098973{col 80}{space 3} .4481005
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .1664281{col 39}{space 2} .1394609{col 50}{space 1}    1.19{col 59}{space 3}0.233{col 67}{space 4}-.1069104{col 80}{space 3} .4397666
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1170682{col 39}{space 2} .1396147{col 50}{space 1}    0.84{col 59}{space 3}0.402{col 67}{space 4}-.1565717{col 80}{space 3} .3907082
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .1243462{col 39}{space 2} .1394847{col 50}{space 1}    0.89{col 59}{space 3}0.373{col 67}{space 4} -.149039{col 80}{space 3} .3977315
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .0900203{col 39}{space 2} .1404004{col 50}{space 1}    0.64{col 59}{space 3}0.521{col 67}{space 4}-.1851596{col 80}{space 3} .3652002
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .1158435{col 39}{space 2} .1394639{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}-.1575009{col 80}{space 3}  .389188
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .1159791{col 39}{space 2} .1395234{col 50}{space 1}    0.83{col 59}{space 3}0.406{col 67}{space 4}-.1574819{col 80}{space 3} .3894401
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .0358423{col 39}{space 2} .1398978{col 50}{space 1}    0.26{col 59}{space 3}0.798{col 67}{space 4}-.2383527{col 80}{space 3} .3100372
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .2221019{col 39}{space 2} .1517091{col 50}{space 1}    1.46{col 59}{space 3}0.143{col 67}{space 4}-.0752427{col 80}{space 3} .5194465
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .1815847{col 39}{space 2} .1397201{col 50}{space 1}    1.30{col 59}{space 3}0.194{col 67}{space 4} -.092262{col 80}{space 3} .4554313
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .1890567{col 39}{space 2} .1395289{col 50}{space 1}    1.35{col 59}{space 3}0.175{col 67}{space 4}-.0844151{col 80}{space 3} .4625285
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .1899677{col 39}{space 2} .1394636{col 50}{space 1}    1.36{col 59}{space 3}0.173{col 67}{space 4}-.0833762{col 80}{space 3} .4633116
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .1866309{col 39}{space 2} .1394457{col 50}{space 1}    1.34{col 59}{space 3}0.181{col 67}{space 4}-.0866779{col 80}{space 3} .4599396
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .1494184{col 39}{space 2}  .139425{col 50}{space 1}    1.07{col 59}{space 3}0.284{col 67}{space 4}-.1238497{col 80}{space 3} .4226866
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .1016744{col 39}{space 2} .1416021{col 50}{space 1}    0.72{col 59}{space 3}0.473{col 67}{space 4}-.1758609{col 80}{space 3} .3792097
{txt}{space 22}18  {c |}{col 27}{res}{space 2}  .158985{col 39}{space 2} .1399578{col 50}{space 1}    1.14{col 59}{space 3}0.256{col 67}{space 4}-.1153274{col 80}{space 3} .4332975
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1591765{col 39}{space 2} .1397394{col 50}{space 1}    1.14{col 59}{space 3}0.255{col 67}{space 4}-.1147079{col 80}{space 3} .4330608
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1254862{col 39}{space 2} .1396131{col 50}{space 1}    0.90{col 59}{space 3}0.369{col 67}{space 4}-.1481507{col 80}{space 3} .3991231
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .1908453{col 39}{space 2} .1395795{col 50}{space 1}    1.37{col 59}{space 3}0.172{col 67}{space 4}-.0827257{col 80}{space 3} .4644162
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2090782{col 39}{space 2} .1394039{col 50}{space 1}    1.50{col 59}{space 3}0.134{col 67}{space 4}-.0641487{col 80}{space 3}  .482305
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2076117{col 39}{space 2} .1394029{col 50}{space 1}    1.49{col 59}{space 3}0.136{col 67}{space 4}-.0656132{col 80}{space 3} .4808367
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2040471{col 39}{space 2} .1394036{col 50}{space 1}    1.46{col 59}{space 3}0.143{col 67}{space 4}-.0691792{col 80}{space 3} .4772735
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .1924851{col 39}{space 2}  .139417{col 50}{space 1}    1.38{col 59}{space 3}0.167{col 67}{space 4}-.0807674{col 80}{space 3} .4657376
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .1891406{col 39}{space 2} .1394147{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0841073{col 80}{space 3} .4623885
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .1818937{col 39}{space 2} .1397775{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.0920654{col 80}{space 3} .4558529
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .1838905{col 39}{space 2} .1394287{col 50}{space 1}    1.32{col 59}{space 3}0.187{col 67}{space 4} -.089385{col 80}{space 3} .4571661
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .1769482{col 39}{space 2} .1394255{col 50}{space 1}    1.27{col 59}{space 3}0.204{col 67}{space 4} -.096321{col 80}{space 3} .4502175
{txt}{space 22}30  {c |}{col 27}{res}{space 2}   .17131{col 39}{space 2} .1395694{col 50}{space 1}    1.23{col 59}{space 3}0.220{col 67}{space 4}-.1022412{col 80}{space 3} .4448613
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2198106{col 39}{space 2} .1395814{col 50}{space 1}    1.57{col 59}{space 3}0.115{col 67}{space 4} -.053764{col 80}{space 3} .4933853
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2140178{col 39}{space 2} .1394033{col 50}{space 1}    1.54{col 59}{space 3}0.125{col 67}{space 4} -.059208{col 80}{space 3} .4872435
{txt}{space 22}33  {c |}{col 27}{res}{space 2}  .216959{col 39}{space 2} .1394023{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4}-.0562646{col 80}{space 3} .4901827
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2170096{col 39}{space 2} .1394032{col 50}{space 1}    1.56{col 59}{space 3}0.120{col 67}{space 4}-.0562158{col 80}{space 3}  .490235
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2124348{col 39}{space 2} .1394054{col 50}{space 1}    1.52{col 59}{space 3}0.128{col 67}{space 4} -.060795{col 80}{space 3} .4856645
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2020333{col 39}{space 2} .1394061{col 50}{space 1}    1.45{col 59}{space 3}0.147{col 67}{space 4}-.0711979{col 80}{space 3} .4752645
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2062524{col 39}{space 2} .1395905{col 50}{space 1}    1.48{col 59}{space 3}0.140{col 67}{space 4}-.0673402{col 80}{space 3} .4798451
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2206263{col 39}{space 2} .1394931{col 50}{space 1}    1.58{col 59}{space 3}0.114{col 67}{space 4}-.0527755{col 80}{space 3}  .494028
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2008387{col 39}{space 2} .1394768{col 50}{space 1}    1.44{col 59}{space 3}0.150{col 67}{space 4}-.0725311{col 80}{space 3} .4742085
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .1961439{col 39}{space 2} .1395353{col 50}{space 1}    1.41{col 59}{space 3}0.160{col 67}{space 4}-.0773405{col 80}{space 3} .4696282
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .2208365{col 39}{space 2} .1524251{col 50}{space 1}    1.45{col 59}{space 3}0.147{col 67}{space 4}-.0779115{col 80}{space 3} .5195845
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} .1326065{col 39}{space 2} .2291969{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.3166117{col 80}{space 3} .5818246
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0115429{col 39}{space 2} .0070557{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4}-.0022859{col 80}{space 3} .0253718
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2} .0768389{col 39}{space 2} .0299036{col 50}{space 1}    2.57{col 59}{space 3}0.010{col 67}{space 4} .0182288{col 80}{space 3} .1354489
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}  .013128{col 39}{space 2} .0077897{col 50}{space 1}    1.69{col 59}{space 3}0.092{col 67}{space 4}-.0021396{col 80}{space 3} .0283956
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} .0877111{col 39}{space 2} .0279793{col 50}{space 1}    3.13{col 59}{space 3}0.002{col 67}{space 4} .0328726{col 80}{space 3} .1425496
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0143831{col 39}{space 2} .0049056{col 50}{space 1}    2.93{col 59}{space 3}0.003{col 67}{space 4} .0047683{col 80}{space 3} .0239979
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}-.0079901{col 39}{space 2} .0366916{col 50}{space 1}   -0.22{col 59}{space 3}0.828{col 67}{space 4}-.0799043{col 80}{space 3} .0639241
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0208834{col 39}{space 2} .0094986{col 50}{space 1}    2.20{col 59}{space 3}0.028{col 67}{space 4} .0022664{col 80}{space 3} .0395003
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}-.0633223{col 39}{space 2} .0555502{col 50}{space 1}   -1.14{col 59}{space 3}0.254{col 67}{space 4}-.1721988{col 80}{space 3} .0455542
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2} .0179873{col 39}{space 2} .0058461{col 50}{space 1}    3.08{col 59}{space 3}0.002{col 67}{space 4} .0065292{col 80}{space 3} .0294453
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2} .0252048{col 39}{space 2} .0355418{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4} -.044456{col 80}{space 3} .0948655
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0304307{col 39}{space 2} .0205724{col 50}{space 1}    1.48{col 59}{space 3}0.139{col 67}{space 4}-.0098905{col 80}{space 3} .0707518
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .1407078{col 39}{space 2} .0999562{col 50}{space 1}    1.41{col 59}{space 3}0.159{col 67}{space 4}-.0552029{col 80}{space 3} .3366185
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0262042{col 39}{space 2} .0052212{col 50}{space 1}    5.02{col 59}{space 3}0.000{col 67}{space 4} .0159708{col 80}{space 3} .0364376
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} .0128712{col 39}{space 2} .0284919{col 50}{space 1}    0.45{col 59}{space 3}0.651{col 67}{space 4}-.0429718{col 80}{space 3} .0687143
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0060139{col 39}{space 2} .0075573{col 50}{space 1}    0.80{col 59}{space 3}0.426{col 67}{space 4}-.0087981{col 80}{space 3} .0208259
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0497048{col 39}{space 2} .0476754{col 50}{space 1}   -1.04{col 59}{space 3}0.297{col 67}{space 4} -.143147{col 80}{space 3} .0437374
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0601303{col 39}{space 2} .0144782{col 50}{space 1}    4.15{col 59}{space 3}0.000{col 67}{space 4} .0317534{col 80}{space 3} .0885071
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}  .028046{col 39}{space 2} .0755744{col 50}{space 1}    0.37{col 59}{space 3}0.711{col 67}{space 4}-.1200773{col 80}{space 3} .1761693
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.0182933{col 39}{space 2} .0622879{col 50}{space 1}   -0.29{col 59}{space 3}0.769{col 67}{space 4}-.1403754{col 80}{space 3} .1037888
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .4418432{col 39}{space 2} .3166894{col 50}{space 1}    1.40{col 59}{space 3}0.163{col 67}{space 4}-.1788572{col 80}{space 3} 1.062544
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} .0257931{col 39}{space 2} .0112076{col 50}{space 1}    2.30{col 59}{space 3}0.021{col 67}{space 4} .0038267{col 80}{space 3} .0477596
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0024151{col 39}{space 2} .0512086{col 50}{space 1}   -0.05{col 59}{space 3}0.962{col 67}{space 4}-.1027823{col 80}{space 3} .0979521
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2} .0144965{col 39}{space 2} .0072163{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0003528{col 80}{space 3} .0286403
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0154018{col 39}{space 2} .0313889{col 50}{space 1}    0.49{col 59}{space 3}0.624{col 67}{space 4}-.0461194{col 80}{space 3}  .076923
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2} .0090376{col 39}{space 2} .0050775{col 50}{space 1}    1.78{col 59}{space 3}0.075{col 67}{space 4}-.0009141{col 80}{space 3} .0189893
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2} .0047465{col 39}{space 2} .0274698{col 50}{space 1}    0.17{col 59}{space 3}0.863{col 67}{space 4}-.0490934{col 80}{space 3} .0585864
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}  .006977{col 39}{space 2} .0044724{col 50}{space 1}    1.56{col 59}{space 3}0.119{col 67}{space 4}-.0017887{col 80}{space 3} .0157427
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}-.0048254{col 39}{space 2} .0219895{col 50}{space 1}   -0.22{col 59}{space 3}0.826{col 67}{space 4} -.047924{col 80}{space 3} .0382732
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0160228{col 39}{space 2}  .003356{col 50}{space 1}    4.77{col 59}{space 3}0.000{col 67}{space 4} .0094452{col 80}{space 3} .0226004
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0033912{col 39}{space 2} .0177145{col 50}{space 1}   -0.19{col 59}{space 3}0.848{col 67}{space 4}-.0381109{col 80}{space 3} .0313285
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0392932{col 39}{space 2} .0303426{col 50}{space 1}    1.29{col 59}{space 3}0.195{col 67}{space 4}-.0201773{col 80}{space 3} .0987637
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}-.3173641{col 39}{space 2} .2667609{col 50}{space 1}   -1.19{col 59}{space 3}0.234{col 67}{space 4}-.8402061{col 80}{space 3}  .205478
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2}  .011717{col 39}{space 2} .0164636{col 50}{space 1}    0.71{col 59}{space 3}0.477{col 67}{space 4}-.0205511{col 80}{space 3} .0439852
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .0212691{col 39}{space 2} .1230203{col 50}{space 1}    0.17{col 59}{space 3}0.863{col 67}{space 4}-.2198464{col 80}{space 3} .2623846
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0006895{col 39}{space 2} .0132287{col 50}{space 1}   -0.05{col 59}{space 3}0.958{col 67}{space 4}-.0266173{col 80}{space 3} .0252382
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2} .0243698{col 39}{space 2} .0578154{col 50}{space 1}    0.42{col 59}{space 3}0.673{col 67}{space 4}-.0889465{col 80}{space 3}  .137686
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0086357{col 39}{space 2} .0096634{col 50}{space 1}    0.89{col 59}{space 3}0.372{col 67}{space 4}-.0103042{col 80}{space 3} .0275757
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0805212{col 39}{space 2} .0553239{col 50}{space 1}   -1.46{col 59}{space 3}0.146{col 67}{space 4}-.1889541{col 80}{space 3} .0279117
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000334{col 39}{space 2} .0000346{col 50}{space 1}   -0.96{col 59}{space 3}0.335{col 67}{space 4}-.0001013{col 80}{space 3} .0000345
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2}-1.73e-06{col 39}{space 2} 2.59e-07{col 50}{space 1}   -6.68{col 59}{space 3}0.000{col 67}{space 4}-2.24e-06{col 80}{space 3}-1.22e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0053313{col 39}{space 2} .0012159{col 50}{space 1}    4.38{col 59}{space 3}0.000{col 67}{space 4} .0029483{col 80}{space 3} .0077144
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2}-.0065741{col 39}{space 2}  .000529{col 50}{space 1}  -12.43{col 59}{space 3}0.000{col 67}{space 4}-.0076109{col 80}{space 3}-.0055372
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0106874{col 39}{space 2} .0014535{col 50}{space 1}    7.35{col 59}{space 3}0.000{col 67}{space 4} .0078386{col 80}{space 3} .0135363
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2} .0001173{col 39}{space 2} .0000128{col 50}{space 1}    9.18{col 59}{space 3}0.000{col 67}{space 4} .0000922{col 80}{space 3} .0001423
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.79e-06{col 39}{space 2} 8.67e-08{col 50}{space 1}   20.59{col 59}{space 3}0.000{col 67}{space 4} 1.62e-06{col 80}{space 3} 1.96e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0018666{col 39}{space 2} .0002309{col 50}{space 1}    8.09{col 59}{space 3}0.000{col 67}{space 4} .0014141{col 80}{space 3} .0023191
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2}  .000178{col 39}{space 2} .0001101{col 50}{space 1}    1.62{col 59}{space 3}0.106{col 67}{space 4}-.0000377{col 80}{space 3} .0003937
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .0133458{col 39}{space 2} .0009111{col 50}{space 1}   14.65{col 59}{space 3}0.000{col 67}{space 4} .0115601{col 80}{space 3} .0151315
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
F test of excluded instruments:
  F(  1,286426) = {res} 1565.02
{txt}  Prob > F      = {res}  0.0000
{help ivreg2##swstats:Sanderson-Windmeijer multivariate F test of excluded instruments:}
{txt}  F(  1,286426) = {res} 1565.02
{txt}  Prob > F      = {res}  0.0000



{txt}Summary results for first-stage regressions
{hline 43}

{col 44}{help ivreg2##swstats:(Underid)}{col 65}{help ivreg2##swstats:(Weak id)}
Variable     |{col 16}{help ivreg2##swstats:F}({res}{col 17}  1{txt},{res}286426{txt})  P-val{col 37}|{col 39}{help ivreg2##swstats:SW Chi-sq}({res}  1{txt}) P-val{col 60}|{col 62}{help ivreg2##swstats:SW F}({res}{col 67}  1{txt},{res}286426{txt})
{res}WP_Voted2018{col 14}{txt}|{col 18}{res} 1565.02{col 28}  0.0000{col 37}{txt}|{col 42}{res} 1571.37{col 51}  0.0000{col 60}{txt}|{col 65}{res} 1565.02

{txt}NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

{help ivreg2##idtest:Underidentification test}
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
{res}Kleibergen-Paap rk LM statistic{txt}{col 42}Chi-sq({res}1{txt})={res}1529.56{col 61}{txt}P-val={res}0.0000

{help ivreg2##widtest:Weak identification test}
{txt}Ho: equation is weakly identified
{res}Cragg-Donald Wald F statistic{col 65} 7366.45
Kleibergen-Paap Wald rk F statistic{col 65} 1565.02

{txt}Stock-Yogo weak ID test critical values for K1=1 and L1=1:
{res}{txt}{col 36}10% maximal IV size{res}{col 67} 16.38
{txt}{col 36}15% maximal IV size{res}{col 67}  8.96
{txt}{col 36}20% maximal IV size{res}{col 67}  6.66
{txt}{col 36}25% maximal IV size{res}{col 67}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

{help ivreg2##wirobust:Weak-instrument-robust inference}
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
{res}Anderson-Rubin Wald test{txt}{col 36}F({res}1{txt},{res}286426{txt})={col 49}{res}  19.23{col 61}{txt}P-val={res}0.0000
Anderson-Rubin Wald test{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  19.31{col 61}{txt}P-val={res}0.0000
Stock-Wright LM S statistic{txt}{col 36}Chi-sq({res}1{txt})={col 49}{res}  19.34{col 61}{txt}P-val={res}0.0000

{txt}NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  = {res}    286427
{txt}Number of observations               N  = {res}   1509005
{txt}Number of regressors                 K  = {res}        93
{txt}Number of endogenous regressors      K1 = {res}         1
{txt}Number of instruments                L  = {res}        93
{txt}Number of excluded instruments       L1 = {res}         1

{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}286427{txt}{col 55}Number of obs = {res} 1509005
{txt}{col 55}F( 93,286426) = {res} 1119.63
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 85376.69498{txt}{col 55}Centered R2   = {res}  0.2242
{txt}Total (uncentered) SS   = {res} 85376.69498{txt}{col 55}Uncentered R2 = {res}  0.2242
{txt}Residual SS             = {res} 66238.53971{txt}{col 55}Root MSE      = {res}   .2099

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0957474{col 39}{space 2} .0218734{col 50}{space 1}    4.38{col 59}{space 3}0.000{col 67}{space 4} .0528761{col 80}{space 3} .1386187
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0231026{col 39}{space 2} .0009081{col 50}{space 1}   25.44{col 59}{space 3}0.000{col 67}{space 4} .0213228{col 80}{space 3} .0248824
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2}  .121533{col 39}{space 2} .0011153{col 50}{space 1}  108.96{col 59}{space 3}0.000{col 67}{space 4}  .119347{col 80}{space 3} .1237191
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2}  .105054{col 39}{space 2} .0013511{col 50}{space 1}   77.75{col 59}{space 3}0.000{col 67}{space 4} .1024059{col 80}{space 3} .1077021
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2}-.0665042{col 39}{space 2} .1095355{col 50}{space 1}   -0.61{col 59}{space 3}0.544{col 67}{space 4}-.2811907{col 80}{space 3} .1481824
{txt}{space 23}3  {c |}{col 27}{res}{space 2}-.0590071{col 39}{space 2} .1096117{col 50}{space 1}   -0.54{col 59}{space 3}0.590{col 67}{space 4}-.2738429{col 80}{space 3} .1558288
{txt}{space 23}4  {c |}{col 27}{res}{space 2}-.0588543{col 39}{space 2}  .109457{col 50}{space 1}   -0.54{col 59}{space 3}0.591{col 67}{space 4} -.273387{col 80}{space 3} .1556783
{txt}{space 23}5  {c |}{col 27}{res}{space 2}-.0858341{col 39}{space 2} .1095805{col 50}{space 1}   -0.78{col 59}{space 3}0.433{col 67}{space 4}-.3006088{col 80}{space 3} .1289406
{txt}{space 23}6  {c |}{col 27}{res}{space 2}-.0760659{col 39}{space 2} .1094569{col 50}{space 1}   -0.69{col 59}{space 3}0.487{col 67}{space 4}-.2905985{col 80}{space 3} .1384666
{txt}{space 23}7  {c |}{col 27}{res}{space 2} -.084923{col 39}{space 2}  .110245{col 50}{space 1}   -0.77{col 59}{space 3}0.441{col 67}{space 4}-.3010001{col 80}{space 3}  .131154
{txt}{space 23}8  {c |}{col 27}{res}{space 2}-.0807751{col 39}{space 2} .1094194{col 50}{space 1}   -0.74{col 59}{space 3}0.460{col 67}{space 4} -.295234{col 80}{space 3} .1336838
{txt}{space 23}9  {c |}{col 27}{res}{space 2}-.0738872{col 39}{space 2} .1094729{col 50}{space 1}   -0.67{col 59}{space 3}0.500{col 67}{space 4}-.2884512{col 80}{space 3} .1406767
{txt}{space 22}10  {c |}{col 27}{res}{space 2}-.1061078{col 39}{space 2} .1098268{col 50}{space 1}   -0.97{col 59}{space 3}0.334{col 67}{space 4}-.3213654{col 80}{space 3} .1091497
{txt}{space 22}11  {c |}{col 27}{res}{space 2}-.0771322{col 39}{space 2} .1509691{col 50}{space 1}   -0.51{col 59}{space 3}0.609{col 67}{space 4}-.3730275{col 80}{space 3} .2187631
{txt}{space 22}12  {c |}{col 27}{res}{space 2} -.058321{col 39}{space 2} .1097516{col 50}{space 1}   -0.53{col 59}{space 3}0.595{col 67}{space 4} -.273431{col 80}{space 3}  .156789
{txt}{space 22}13  {c |}{col 27}{res}{space 2}-.0466854{col 39}{space 2} .1095448{col 50}{space 1}   -0.43{col 59}{space 3}0.670{col 67}{space 4}-.2613902{col 80}{space 3} .1680193
{txt}{space 22}14  {c |}{col 27}{res}{space 2}-.0572634{col 39}{space 2}   .10949{col 50}{space 1}   -0.52{col 59}{space 3}0.601{col 67}{space 4}-.2718608{col 80}{space 3}  .157334
{txt}{space 22}15  {c |}{col 27}{res}{space 2}-.0616586{col 39}{space 2} .1094639{col 50}{space 1}   -0.56{col 59}{space 3}0.573{col 67}{space 4}-.2762048{col 80}{space 3} .1528876
{txt}{space 22}16  {c |}{col 27}{res}{space 2}-.0764398{col 39}{space 2} .1094064{col 50}{space 1}   -0.70{col 59}{space 3}0.485{col 67}{space 4}-.2908733{col 80}{space 3} .1379938
{txt}{space 22}17  {c |}{col 27}{res}{space 2}-.0532539{col 39}{space 2} .1113789{col 50}{space 1}   -0.48{col 59}{space 3}0.633{col 67}{space 4}-.2715535{col 80}{space 3} .1650457
{txt}{space 22}18  {c |}{col 27}{res}{space 2}-.0757223{col 39}{space 2} .1099899{col 50}{space 1}   -0.69{col 59}{space 3}0.491{col 67}{space 4}-.2912994{col 80}{space 3} .1398548
{txt}{space 22}19  {c |}{col 27}{res}{space 2}-.0696522{col 39}{space 2} .1097451{col 50}{space 1}   -0.63{col 59}{space 3}0.526{col 67}{space 4}-.2847495{col 80}{space 3} .1454452
{txt}{space 22}20  {c |}{col 27}{res}{space 2}-.0873206{col 39}{space 2} .1095777{col 50}{space 1}   -0.80{col 59}{space 3}0.426{col 67}{space 4}-.3020898{col 80}{space 3} .1274486
{txt}{space 22}21  {c |}{col 27}{res}{space 2}-.0508507{col 39}{space 2} .1096149{col 50}{space 1}   -0.46{col 59}{space 3}0.643{col 67}{space 4}-.2656928{col 80}{space 3} .1639915
{txt}{space 22}22  {c |}{col 27}{res}{space 2}-.0649868{col 39}{space 2} .1094406{col 50}{space 1}   -0.59{col 59}{space 3}0.553{col 67}{space 4}-.2794874{col 80}{space 3} .1495138
{txt}{space 22}23  {c |}{col 27}{res}{space 2} -.059068{col 39}{space 2} .1094361{col 50}{space 1}   -0.54{col 59}{space 3}0.589{col 67}{space 4}-.2735597{col 80}{space 3} .1554237
{txt}{space 22}24  {c |}{col 27}{res}{space 2}-.0581095{col 39}{space 2} .1094336{col 50}{space 1}   -0.53{col 59}{space 3}0.595{col 67}{space 4}-.2725962{col 80}{space 3} .1563773
{txt}{space 22}25  {c |}{col 27}{res}{space 2}-.0594429{col 39}{space 2} .1094397{col 50}{space 1}   -0.54{col 59}{space 3}0.587{col 67}{space 4}-.2739417{col 80}{space 3}  .155056
{txt}{space 22}26  {c |}{col 27}{res}{space 2}-.0604257{col 39}{space 2}  .109434{col 50}{space 1}   -0.55{col 59}{space 3}0.581{col 67}{space 4}-.2749133{col 80}{space 3} .1540619
{txt}{space 22}27  {c |}{col 27}{res}{space 2}-.0663356{col 39}{space 2} .1098552{col 50}{space 1}   -0.60{col 59}{space 3}0.546{col 67}{space 4}-.2816487{col 80}{space 3} .1489775
{txt}{space 22}28  {c |}{col 27}{res}{space 2}-.0597971{col 39}{space 2} .1094465{col 50}{space 1}   -0.55{col 59}{space 3}0.585{col 67}{space 4}-.2743092{col 80}{space 3} .1547149
{txt}{space 22}29  {c |}{col 27}{res}{space 2}-.0653446{col 39}{space 2} .1094333{col 50}{space 1}   -0.60{col 59}{space 3}0.550{col 67}{space 4}-.2798308{col 80}{space 3} .1491417
{txt}{space 22}30  {c |}{col 27}{res}{space 2}-.0658323{col 39}{space 2} .1096357{col 50}{space 1}   -0.60{col 59}{space 3}0.548{col 67}{space 4}-.2807153{col 80}{space 3} .1490507
{txt}{space 22}31  {c |}{col 27}{res}{space 2}-.0443032{col 39}{space 2} .1097165{col 50}{space 1}   -0.40{col 59}{space 3}0.686{col 67}{space 4}-.2593446{col 80}{space 3} .1707381
{txt}{space 22}32  {c |}{col 27}{res}{space 2}-.0604523{col 39}{space 2}  .109444{col 50}{space 1}   -0.55{col 59}{space 3}0.581{col 67}{space 4}-.2749595{col 80}{space 3} .1540549
{txt}{space 22}33  {c |}{col 27}{res}{space 2}-.0536755{col 39}{space 2} .1094438{col 50}{space 1}   -0.49{col 59}{space 3}0.624{col 67}{space 4}-.2681823{col 80}{space 3} .1608313
{txt}{space 22}34  {c |}{col 27}{res}{space 2}-.0521257{col 39}{space 2} .1094445{col 50}{space 1}   -0.48{col 59}{space 3}0.634{col 67}{space 4}-.2666338{col 80}{space 3} .1623824
{txt}{space 22}35  {c |}{col 27}{res}{space 2}-.0521729{col 39}{space 2} .1094425{col 50}{space 1}   -0.48{col 59}{space 3}0.634{col 67}{space 4}-.2666771{col 80}{space 3} .1623313
{txt}{space 22}36  {c |}{col 27}{res}{space 2}-.0553055{col 39}{space 2}  .109434{col 50}{space 1}   -0.51{col 59}{space 3}0.613{col 67}{space 4} -.269793{col 80}{space 3} .1591821
{txt}{space 22}37  {c |}{col 27}{res}{space 2} -.044772{col 39}{space 2}  .109659{col 50}{space 1}   -0.41{col 59}{space 3}0.683{col 67}{space 4}-.2597007{col 80}{space 3} .1701567
{txt}{space 22}38  {c |}{col 27}{res}{space 2}-.0514106{col 39}{space 2} .1096425{col 50}{space 1}   -0.47{col 59}{space 3}0.639{col 67}{space 4}-.2663068{col 80}{space 3} .1634857
{txt}{space 22}39  {c |}{col 27}{res}{space 2}-.0594654{col 39}{space 2} .1095425{col 50}{space 1}   -0.54{col 59}{space 3}0.587{col 67}{space 4}-.2741656{col 80}{space 3} .1552348
{txt}{space 22}40  {c |}{col 27}{res}{space 2}-.0473959{col 39}{space 2} .1095834{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.2621763{col 80}{space 3} .1673845
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2}  -.08654{col 39}{space 2} .1261526{col 50}{space 1}   -0.69{col 59}{space 3}0.493{col 67}{space 4}-.3337957{col 80}{space 3} .1607156
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-.0839984{col 39}{space 2} .1076222{col 50}{space 1}   -0.78{col 59}{space 3}0.435{col 67}{space 4} -.294935{col 80}{space 3} .1269381
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2} .0014706{col 39}{space 2} .0063427{col 50}{space 1}    0.23{col 59}{space 3}0.817{col 67}{space 4}-.0109609{col 80}{space 3} .0139021
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0002935{col 39}{space 2} .0384972{col 50}{space 1}   -0.01{col 59}{space 3}0.994{col 67}{space 4} -.075747{col 80}{space 3}   .07516
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0103261{col 39}{space 2} .0079909{col 50}{space 1}   -1.29{col 59}{space 3}0.196{col 67}{space 4} -.025988{col 80}{space 3} .0053359
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2} -.009912{col 39}{space 2} .0336196{col 50}{space 1}   -0.29{col 59}{space 3}0.768{col 67}{space 4}-.0758056{col 80}{space 3} .0559815
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2}-.0095341{col 39}{space 2} .0046194{col 50}{space 1}   -2.06{col 59}{space 3}0.039{col 67}{space 4} -.018588{col 80}{space 3}-.0004801
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0131814{col 39}{space 2} .0281232{col 50}{space 1}    0.47{col 59}{space 3}0.639{col 67}{space 4}-.0419393{col 80}{space 3} .0683022
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0042781{col 39}{space 2} .0087176{col 50}{space 1}    0.49{col 59}{space 3}0.624{col 67}{space 4}-.0128081{col 80}{space 3} .0213644
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}   .08115{col 39}{space 2} .0398361{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0030723{col 80}{space 3} .1592276
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0067712{col 39}{space 2}  .005605{col 50}{space 1}   -1.21{col 59}{space 3}0.227{col 67}{space 4}-.0177568{col 80}{space 3} .0042144
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0434799{col 39}{space 2}  .031882{col 50}{space 1}   -1.36{col 59}{space 3}0.173{col 67}{space 4}-.1059679{col 80}{space 3}  .019008
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}-.0028939{col 39}{space 2}  .018166{col 50}{space 1}   -0.16{col 59}{space 3}0.873{col 67}{space 4}-.0384987{col 80}{space 3} .0327108
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2} .0641633{col 39}{space 2} .1264071{col 50}{space 1}    0.51{col 59}{space 3}0.612{col 67}{space 4}-.1835912{col 80}{space 3} .3119177
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2} .0088401{col 39}{space 2} .0047831{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0005347{col 80}{space 3}  .018215
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} .0120347{col 39}{space 2} .0253594{col 50}{space 1}    0.47{col 59}{space 3}0.635{col 67}{space 4}-.0376691{col 80}{space 3} .0617384
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0009934{col 39}{space 2} .0066299{col 50}{space 1}    0.15{col 59}{space 3}0.881{col 67}{space 4}-.0120009{col 80}{space 3} .0139878
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0015813{col 39}{space 2} .0331821{col 50}{space 1}   -0.05{col 59}{space 3}0.962{col 67}{space 4}-.0666174{col 80}{space 3} .0634547
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2} .0093107{col 39}{space 2}  .013122{col 50}{space 1}    0.71{col 59}{space 3}0.478{col 67}{space 4}-.0164081{col 80}{space 3} .0350295
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.1410895{col 39}{space 2} .0840516{col 50}{space 1}   -1.68{col 59}{space 3}0.093{col 67}{space 4}-.3058284{col 80}{space 3} .0236494
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2} .0593008{col 39}{space 2} .1174105{col 50}{space 1}    0.51{col 59}{space 3}0.614{col 67}{space 4}-.1708205{col 80}{space 3} .2894221
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .3953089{col 39}{space 2} .2125768{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0213358{col 80}{space 3} .8119536
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0068642{col 39}{space 2} .0105561{col 50}{space 1}   -0.65{col 59}{space 3}0.516{col 67}{space 4}-.0275539{col 80}{space 3} .0138255
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0009499{col 39}{space 2} .0540331{col 50}{space 1}   -0.02{col 59}{space 3}0.986{col 67}{space 4}-.1068533{col 80}{space 3} .1049534
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0146092{col 39}{space 2} .0067722{col 50}{space 1}   -2.16{col 59}{space 3}0.031{col 67}{space 4}-.0278826{col 80}{space 3}-.0013358
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2}-.0656648{col 39}{space 2} .0502431{col 50}{space 1}   -1.31{col 59}{space 3}0.191{col 67}{space 4}-.1641399{col 80}{space 3} .0328103
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0044028{col 39}{space 2}  .005242{col 50}{space 1}   -0.84{col 59}{space 3}0.401{col 67}{space 4}-.0146771{col 80}{space 3} .0058714
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}  -.00232{col 39}{space 2} .0315282{col 50}{space 1}   -0.07{col 59}{space 3}0.941{col 67}{space 4}-.0641143{col 80}{space 3} .0594744
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0010587{col 39}{space 2}  .004502{col 50}{space 1}    0.24{col 59}{space 3}0.814{col 67}{space 4}-.0077651{col 80}{space 3} .0098825
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0400992{col 39}{space 2} .0221234{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0032621{col 80}{space 3} .0834604
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0076362{col 39}{space 2} .0033878{col 50}{space 1}    2.25{col 59}{space 3}0.024{col 67}{space 4} .0009963{col 80}{space 3} .0142762
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2}-.0079207{col 39}{space 2} .0185493{col 50}{space 1}   -0.43{col 59}{space 3}0.669{col 67}{space 4}-.0442769{col 80}{space 3} .0284354
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0227726{col 39}{space 2} .0265695{col 50}{space 1}   -0.86{col 59}{space 3}0.391{col 67}{space 4}-.0748482{col 80}{space 3} .0293029
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1437089{col 39}{space 2} .1540846{col 50}{space 1}    0.93{col 59}{space 3}0.351{col 67}{space 4}-.1582927{col 80}{space 3} .4457104
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0079465{col 39}{space 2} .0155108{col 50}{space 1}    0.51{col 59}{space 3}0.608{col 67}{space 4}-.0224543{col 80}{space 3} .0383473
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2}-.0570118{col 39}{space 2} .0773159{col 50}{space 1}   -0.74{col 59}{space 3}0.461{col 67}{space 4}-.2085489{col 80}{space 3} .0945253
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}-.0000252{col 39}{space 2}  .012695{col 50}{space 1}   -0.00{col 59}{space 3}0.998{col 67}{space 4} -.024907{col 80}{space 3} .0248566
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0020297{col 39}{space 2} .0554437{col 50}{space 1}   -0.04{col 59}{space 3}0.971{col 67}{space 4}-.1106977{col 80}{space 3} .1066384
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0105313{col 39}{space 2}  .008925{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.0069614{col 80}{space 3}  .028024
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0176058{col 39}{space 2} .0471183{col 50}{space 1}   -0.37{col 59}{space 3}0.709{col 67}{space 4}-.1099563{col 80}{space 3} .0747447
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} -.000141{col 39}{space 2} .0000384{col 50}{space 1}   -3.68{col 59}{space 3}0.000{col 67}{space 4}-.0002162{col 80}{space 3}-.0000658
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 2.59e-06{col 39}{space 2} 2.97e-07{col 50}{space 1}    8.73{col 59}{space 3}0.000{col 67}{space 4} 2.01e-06{col 80}{space 3} 3.18e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0131592{col 39}{space 2}  .001237{col 50}{space 1}   10.64{col 59}{space 3}0.000{col 67}{space 4} .0107347{col 80}{space 3} .0155836
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0014479{col 39}{space 2} .0005609{col 50}{space 1}    2.58{col 59}{space 3}0.010{col 67}{space 4} .0003486{col 80}{space 3} .0025472
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0050392{col 39}{space 2} .0015062{col 50}{space 1}    3.35{col 59}{space 3}0.001{col 67}{space 4} .0020871{col 80}{space 3} .0079912
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0001153{col 39}{space 2} .0000199{col 50}{space 1}   -5.80{col 59}{space 3}0.000{col 67}{space 4}-.0001543{col 80}{space 3}-.0000763
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 3.56e-06{col 39}{space 2} 1.28e-07{col 50}{space 1}   27.72{col 59}{space 3}0.000{col 67}{space 4} 3.31e-06{col 80}{space 3} 3.81e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0103521{col 39}{space 2} .0003691{col 50}{space 1}   28.05{col 59}{space 3}0.000{col 67}{space 4} .0096287{col 80}{space 3} .0110755
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0015679{col 39}{space 2} .0001823{col 50}{space 1}    8.60{col 59}{space 3}0.000{col 67}{space 4} .0012107{col 80}{space 3} .0019252
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4169178{col 39}{space 2} .0018397{col 50}{space 1}  226.63{col 59}{space 3}0.000{col 67}{space 4} .4133121{col 80}{space 3} .4205235
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}1529.557
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}7366.447
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1565.019
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. *****************************************************************
. *********** TABLE A9 Additional controls  ***********
. ***************************************************************
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
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{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. 
.  global FIRM_X "Org_* Ftg_*"
{txt}
{com}.         global WP_X "WP_Age2010 WP_Income WP_NumberOfChildren WP_Married WP_NumWorkers"
{txt}
{com}.         
. ds Org_*
{txt}{col 1}Org_Typ{col 15}Org_MenGymn{col 29}Org_KvForG~n{col 43}Org_KvEGymnL{col 57}Org_AntalSys
{col 1}Org_LoneSum{col 15}Org_MenEGy~K{col 29}Org_KvGymn{col 43}Org_Men{col 57}Org_AntalP~s
{col 1}Org_MenFor~n{col 15}Org_MenEGy~L{col 29}Org_KvEGymnK{col 43}Org_Kv{col 57}Org_Sni2007

{com}. foreach var of varlist `r(varlist)' {c -(}
{txt}  2{com}.         count if missing(`var')
{txt}  3{com}.         di  "`var': " r(N) " missing"
{txt}  4{com}. {c )-}
  {res}133
Org_Typ: 133 missing
  133
Org_LoneSum: 133 missing
  133
Org_MenForGymn: 133 missing
  133
Org_MenGymn: 133 missing
  133
Org_MenEGymnK: 133 missing
  133
Org_MenEGymnL: 133 missing
  133
Org_KvForGymn: 133 missing
  133
Org_KvGymn: 133 missing
  133
Org_KvEGymnK: 133 missing
  133
Org_KvEGymnL: 133 missing
  133
Org_Men: 133 missing
  133
Org_Kv: 133 missing
  133
Org_AntalSys: 133 missing
  133
Org_AntalPers: 133 missing
  133
Org_Sni2007: 133 missing
{txt}
{com}. 
. foreach var in WP_Age2010 WP_Income WP_NumberOfChildren WP_Married WP_NumWorkers {c -(}
{txt}  2{com}.         count if missing(`var')
{txt}  3{com}.         di  "`var': " r(N) " missing"
{txt}  4{com}. {c )-}
  {res}0
WP_Age2010: 0 missing
  0
WP_Income: 0 missing
  0
WP_NumberOfChildren: 0 missing
  0
WP_Married: 0 missing
  0
WP_NumWorkers: 0 missing
{txt}
{com}. 
. 
. * i) Repeating main 
. ivreghdfe Voted2022  $main_controls (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 93,298639) = {res} 1295.94
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2272
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2272
{txt}Residual SS             = {res} 76758.00704{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0803685{col 39}{space 2} .0165787{col 50}{space 1}    4.85{col 59}{space 3}0.000{col 67}{space 4} .0478748{col 80}{space 3} .1128623
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0354191{col 39}{space 2} .0010749{col 50}{space 1}   32.95{col 59}{space 3}0.000{col 67}{space 4} .0333124{col 80}{space 3} .0375259
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224913{col 39}{space 2} .0010749{col 50}{space 1}  113.96{col 59}{space 3}0.000{col 67}{space 4} .1203846{col 80}{space 3}  .124598
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1026161{col 39}{space 2} .0012902{col 50}{space 1}   79.54{col 59}{space 3}0.000{col 67}{space 4} .1000874{col 80}{space 3} .1051448
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2235901{col 39}{space 2} .1097269{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0085285{col 80}{space 3} .4386517
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2200672{col 39}{space 2} .1097744{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0049124{col 80}{space 3}  .435222
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2152545{col 39}{space 2} .1096939{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0002576{col 80}{space 3} .4302514
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1880787{col 39}{space 2} .1098724{col 50}{space 1}    1.71{col 59}{space 3}0.087{col 67}{space 4}-.0272682{col 80}{space 3} .4034256
{txt}{space 23}6  {c |}{col 27}{res}{space 2}  .201637{col 39}{space 2} .1097263{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0134233{col 80}{space 3} .4166974
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1659506{col 39}{space 2} .1106756{col 50}{space 1}    1.50{col 59}{space 3}0.134{col 67}{space 4}-.0509706{col 80}{space 3} .3828717
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2089665{col 39}{space 2} .1096983{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4} -.006039{col 80}{space 3} .4239721
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2084472{col 39}{space 2} .1097628{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0066847{col 80}{space 3} .4235792
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1765013{col 39}{space 2} .1101587{col 50}{space 1}    1.60{col 59}{space 3}0.109{col 67}{space 4}-.0394066{col 80}{space 3} .3924091
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3683386{col 39}{space 2} .1535366{col 50}{space 1}    2.40{col 59}{space 3}0.016{col 67}{space 4} .0674111{col 80}{space 3} .6692661
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2223232{col 39}{space 2}  .109909{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0069045{col 80}{space 3} .4377418
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2281816{col 39}{space 2} .1098185{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0129405{col 80}{space 3} .4434228
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2238353{col 39}{space 2} .1097298{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0087681{col 80}{space 3} .4389025
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2161913{col 39}{space 2} .1097119{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0011591{col 80}{space 3} .4312236
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2027909{col 39}{space 2} .1096749{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0121689{col 80}{space 3} .4177507
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2077301{col 39}{space 2} .1122963{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0123675{col 80}{space 3} .4278277
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1978984{col 39}{space 2} .1106955{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0190617{col 80}{space 3} .4148584
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1998951{col 39}{space 2} .1103647{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0164165{col 80}{space 3} .4162068
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1842105{col 39}{space 2} .1099652{col 50}{space 1}    1.68{col 59}{space 3}0.094{col 67}{space 4}-.0313182{col 80}{space 3} .3997392
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2188638{col 39}{space 2} .1103034{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0026722{col 80}{space 3} .4350553
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2176215{col 39}{space 2} .1096487{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0027132{col 80}{space 3} .4325299
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2221984{col 39}{space 2} .1096437{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0072998{col 80}{space 3}  .437097
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2230881{col 39}{space 2} .1096437{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0081895{col 80}{space 3} .4379868
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2196738{col 39}{space 2} .1096585{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0047462{col 80}{space 3} .4346015
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2196064{col 39}{space 2} .1096541{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0046874{col 80}{space 3} .4345254
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2095502{col 39}{space 2}  .110231{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0064995{col 80}{space 3} .4255999
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2168018{col 39}{space 2} .1096758{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0018402{col 80}{space 3} .4317634
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2095471{col 39}{space 2} .1096688{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0054007{col 80}{space 3} .4244948
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2053125{col 39}{space 2} .1098833{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0100557{col 80}{space 3} .4206806
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2323685{col 39}{space 2} .1102518{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4}  .016278{col 80}{space 3} .4484589
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2214004{col 39}{space 2} .1096476{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0064941{col 80}{space 3} .4363066
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2247732{col 39}{space 2}  .109645{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0098721{col 80}{space 3} .4396743
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2267508{col 39}{space 2} .1096463{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0118471{col 80}{space 3} .4416545
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2263309{col 39}{space 2}  .109647{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0114259{col 80}{space 3}  .441236
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .221735{col 39}{space 2}  .109645{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0068338{col 80}{space 3} .4366362
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2268851{col 39}{space 2} .1099754{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0113365{col 80}{space 3} .4424337
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2252906{col 39}{space 2} .1098592{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0099697{col 80}{space 3} .4406115
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2187833{col 39}{space 2}  .109767{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4}  .003643{col 80}{space 3} .4339236
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2257065{col 39}{space 2} .1097997{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0105022{col 80}{space 3} .4409107
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3140541{col 39}{space 2} .1346589{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4} .0501264{col 80}{space 3} .5779818
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.440974{col 39}{space 2} 1.357061{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-5.100775{col 80}{space 3}  .218827
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0029276{col 39}{space 2} .0057073{col 50}{space 1}   -0.51{col 59}{space 3}0.608{col 67}{space 4}-.0141138{col 80}{space 3} .0082587
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0035234{col 39}{space 2} .0353313{col 50}{space 1}   -0.10{col 59}{space 3}0.921{col 67}{space 4}-.0727718{col 80}{space 3}  .065725
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0024764{col 39}{space 2} .0072008{col 50}{space 1}   -0.34{col 59}{space 3}0.731{col 67}{space 4}-.0165897{col 80}{space 3}  .011637
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0847617{col 39}{space 2} .0469914{col 50}{space 1}   -1.80{col 59}{space 3}0.071{col 67}{space 4}-.1768635{col 80}{space 3} .0073401
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0020257{col 39}{space 2} .0048543{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4}-.0074887{col 80}{space 3} .0115401
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0163393{col 39}{space 2}  .025858{col 50}{space 1}    0.63{col 59}{space 3}0.527{col 67}{space 4}-.0343417{col 80}{space 3} .0670202
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0114696{col 39}{space 2}   .00988{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4} -.007895{col 80}{space 3} .0308342
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0386542{col 39}{space 2} .0443046{col 50}{space 1}    0.87{col 59}{space 3}0.383{col 67}{space 4}-.0481815{col 80}{space 3}   .12549
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0062859{col 39}{space 2} .0063142{col 50}{space 1}   -1.00{col 59}{space 3}0.319{col 67}{space 4}-.0186616{col 80}{space 3} .0060898
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0935131{col 39}{space 2} .0325723{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4} -.157354{col 80}{space 3}-.0296722
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0329223{col 39}{space 2} .0205389{col 50}{space 1}    1.60{col 59}{space 3}0.109{col 67}{space 4}-.0073333{col 80}{space 3} .0731779
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1684544{col 39}{space 2} .1440617{col 50}{space 1}   -1.17{col 59}{space 3}0.242{col 67}{space 4}-.4508113{col 80}{space 3} .1139025
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0013168{col 39}{space 2} .0054392{col 50}{space 1}   -0.24{col 59}{space 3}0.809{col 67}{space 4}-.0119775{col 80}{space 3}  .009344
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0327869{col 39}{space 2} .0305046{col 50}{space 1}   -1.07{col 59}{space 3}0.282{col 67}{space 4} -.092575{col 80}{space 3} .0270012
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0002073{col 39}{space 2} .0075823{col 50}{space 1}   -0.03{col 59}{space 3}0.978{col 67}{space 4}-.0150684{col 80}{space 3} .0146538
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0192937{col 39}{space 2} .0409803{col 50}{space 1}   -0.47{col 59}{space 3}0.638{col 67}{space 4}-.0996139{col 80}{space 3} .0610265
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0013525{col 39}{space 2} .0145567{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.0298832{col 80}{space 3} .0271782
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0248089{col 39}{space 2} .0881937{col 50}{space 1}   -0.28{col 59}{space 3}0.778{col 67}{space 4}-.1976661{col 80}{space 3} .1480484
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1329215{col 39}{space 2} .1288577{col 50}{space 1}   -1.03{col 59}{space 3}0.302{col 67}{space 4}-.3854789{col 80}{space 3} .1196358
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1090936{col 39}{space 2} .2295806{col 50}{space 1}    0.48{col 59}{space 3}0.635{col 67}{space 4} -.340878{col 80}{space 3} .5590652
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} -.001802{col 39}{space 2} .0100053{col 50}{space 1}   -0.18{col 59}{space 3}0.857{col 67}{space 4}-.0214121{col 80}{space 3} .0178081
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0212573{col 39}{space 2} .1152529{col 50}{space 1}   -0.18{col 59}{space 3}0.854{col 67}{space 4}-.2471498{col 80}{space 3} .2046352
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0086056{col 39}{space 2} .0080405{col 50}{space 1}   -1.07{col 59}{space 3}0.284{col 67}{space 4}-.0243647{col 80}{space 3} .0071535
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0270539{col 39}{space 2}  .030777{col 50}{space 1}    0.88{col 59}{space 3}0.379{col 67}{space 4} -.033268{col 80}{space 3} .0873759
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0043295{col 39}{space 2} .0057874{col 50}{space 1}   -0.75{col 59}{space 3}0.454{col 67}{space 4}-.0156726{col 80}{space 3} .0070135
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0057632{col 39}{space 2} .0375946{col 50}{space 1}   -0.15{col 59}{space 3}0.878{col 67}{space 4}-.0794475{col 80}{space 3} .0679211
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2}   .00326{col 39}{space 2}  .005376{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.0072767{col 80}{space 3} .0137968
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0025346{col 39}{space 2} .0309103{col 50}{space 1}    0.08{col 59}{space 3}0.935{col 67}{space 4}-.0580487{col 80}{space 3} .0631179
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}  .005391{col 39}{space 2} .0043194{col 50}{space 1}    1.25{col 59}{space 3}0.212{col 67}{space 4}-.0030748{col 80}{space 3} .0138569
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0199827{col 39}{space 2}  .023327{col 50}{space 1}    0.86{col 59}{space 3}0.392{col 67}{space 4}-.0257375{col 80}{space 3} .0657029
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0041798{col 39}{space 2}  .030984{col 50}{space 1}   -0.13{col 59}{space 3}0.893{col 67}{space 4}-.0649076{col 80}{space 3}  .056548
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1366594{col 39}{space 2} .0655221{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4}  .008238{col 80}{space 3} .2650808
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0121461{col 39}{space 2} .0200136{col 50}{space 1}    0.61{col 59}{space 3}0.544{col 67}{space 4}-.0270799{col 80}{space 3} .0513721
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1047562{col 39}{space 2} .0915492{col 50}{space 1}    1.14{col 59}{space 3}0.253{col 67}{space 4}-.0746777{col 80}{space 3} .2841901
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0154646{col 39}{space 2}  .016981{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.0178177{col 80}{space 3} .0487469
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}  -.04616{col 39}{space 2} .1015225{col 50}{space 1}   -0.45{col 59}{space 3}0.649{col 67}{space 4}-.2451412{col 80}{space 3} .1528212
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0146533{col 39}{space 2} .0112436{col 50}{space 1}    1.30{col 59}{space 3}0.192{col 67}{space 4}-.0073838{col 80}{space 3} .0366904
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} -.014908{col 39}{space 2} .0580825{col 50}{space 1}   -0.26{col 59}{space 3}0.797{col 67}{space 4}-.1287482{col 80}{space 3} .0989321
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000101{col 39}{space 2} .0000425{col 50}{space 1}   -0.24{col 59}{space 3}0.811{col 67}{space 4}-.0000933{col 80}{space 3} .0000731
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.81e-07{col 39}{space 2} 2.73e-07{col 50}{space 1}    3.60{col 59}{space 3}0.000{col 67}{space 4} 4.47e-07{col 80}{space 3} 1.52e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0142994{col 39}{space 2} .0012109{col 50}{space 1}   11.81{col 59}{space 3}0.000{col 67}{space 4} .0119261{col 80}{space 3} .0166727
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003429{col 39}{space 2} .0005188{col 50}{space 1}    0.66{col 59}{space 3}0.509{col 67}{space 4}-.0006739{col 80}{space 3} .0013598
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0101004{col 39}{space 2} .0014842{col 50}{space 1}    6.81{col 59}{space 3}0.000{col 67}{space 4} .0071913{col 80}{space 3} .0130095
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000776{col 39}{space 2} .0000199{col 50}{space 1}   -3.91{col 59}{space 3}0.000{col 67}{space 4}-.0001166{col 80}{space 3}-.0000387
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.60e-06{col 39}{space 2} 1.73e-07{col 50}{space 1}    9.27{col 59}{space 3}0.000{col 67}{space 4} 1.26e-06{col 80}{space 3} 1.94e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0116088{col 39}{space 2} .0003804{col 50}{space 1}   30.52{col 59}{space 3}0.000{col 67}{space 4} .0108633{col 80}{space 3} .0123543
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010579{col 39}{space 2} .0001878{col 50}{space 1}    5.63{col 59}{space 3}0.000{col 67}{space 4} .0006898{col 80}{space 3}  .001426
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}   .41647{col 39}{space 2} .0017002{col 50}{space 1}  244.96{col 59}{space 3}0.000{col 67}{space 4} .4131377{col 80}{space 3} .4198023
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2622.101
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.3e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2692.489
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. * ii) Adding workplace characteristics
. ivreghdfe Voted2022  $main_controls  $WP_X   (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 98,298639) = {res} 1230.99
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2273
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2273
{txt}Residual SS             = {res} 76752.04542{txt}{col 55}Root MSE      = {res}   .2205

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0787949{col 39}{space 2} .0170907{col 50}{space 1}    4.61{col 59}{space 3}0.000{col 67}{space 4} .0452976{col 80}{space 3} .1122923
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0354051{col 39}{space 2} .0010746{col 50}{space 1}   32.95{col 59}{space 3}0.000{col 67}{space 4} .0332989{col 80}{space 3} .0375113
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224874{col 39}{space 2} .0010743{col 50}{space 1}  114.02{col 59}{space 3}0.000{col 67}{space 4} .1203818{col 80}{space 3}  .124593
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1026762{col 39}{space 2}  .001291{col 50}{space 1}   79.53{col 59}{space 3}0.000{col 67}{space 4} .1001458{col 80}{space 3} .1052065
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2245672{col 39}{space 2} .1098474{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0092694{col 80}{space 3} .4398651
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2216021{col 39}{space 2} .1098959{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} .0062092{col 80}{space 3}  .436995
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2169499{col 39}{space 2} .1098162{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0017132{col 80}{space 3} .4321865
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1901499{col 39}{space 2} .1099963{col 50}{space 1}    1.73{col 59}{space 3}0.084{col 67}{space 4}-.0254398{col 80}{space 3} .4057396
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2036045{col 39}{space 2} .1098497{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0116978{col 80}{space 3} .4189068
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1681191{col 39}{space 2} .1107988{col 50}{space 1}    1.52{col 59}{space 3}0.129{col 67}{space 4}-.0490433{col 80}{space 3} .3852816
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2111231{col 39}{space 2}  .109822{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0041249{col 80}{space 3} .4263711
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2107373{col 39}{space 2} .1098868{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0046377{col 80}{space 3} .4261124
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1788253{col 39}{space 2} .1102815{col 50}{space 1}    1.62{col 59}{space 3}0.105{col 67}{space 4}-.0373234{col 80}{space 3}  .394974
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3705367{col 39}{space 2}  .153916{col 50}{space 1}    2.41{col 59}{space 3}0.016{col 67}{space 4} .0688656{col 80}{space 3} .6722079
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2234408{col 39}{space 2} .1100304{col 50}{space 1}    2.03{col 59}{space 3}0.042{col 67}{space 4} .0077843{col 80}{space 3} .4390972
{txt}{space 22}13  {c |}{col 27}{res}{space 2}  .229881{col 39}{space 2} .1099404{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0144009{col 80}{space 3} .4453611
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2257292{col 39}{space 2} .1098522{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4}  .010422{col 80}{space 3} .4410364
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2181461{col 39}{space 2} .1098348{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4}  .002873{col 80}{space 3} .4334192
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2051259{col 39}{space 2} .1097987{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0100765{col 80}{space 3} .4203283
{txt}{space 22}17  {c |}{col 27}{res}{space 2}  .209821{col 39}{space 2} .1124184{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4} -.010516{col 80}{space 3} .4301579
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1999725{col 39}{space 2} .1108153{col 50}{space 1}    1.80{col 59}{space 3}0.071{col 67}{space 4}-.0172224{col 80}{space 3} .4171675
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .2022827{col 39}{space 2} .1104874{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.0142695{col 80}{space 3} .4188349
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1864082{col 39}{space 2} .1100891{col 50}{space 1}    1.69{col 59}{space 3}0.090{col 67}{space 4}-.0293633{col 80}{space 3} .4021798
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2211778{col 39}{space 2}  .110406{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0047851{col 80}{space 3} .4375705
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2182391{col 39}{space 2} .1097668{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0030992{col 80}{space 3}  .433379
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2240353{col 39}{space 2}  .109765{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4}  .008899{col 80}{space 3} .4391715
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2248355{col 39}{space 2} .1097653{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4} .0096985{col 80}{space 3} .4399724
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2217308{col 39}{space 2} .1097827{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0065598{col 80}{space 3} .4369018
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2216819{col 39}{space 2} .1097784{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0065193{col 80}{space 3} .4368445
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2113013{col 39}{space 2} .1103537{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0049888{col 80}{space 3} .4275913
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2186157{col 39}{space 2} .1097989{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0034129{col 80}{space 3} .4338184
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2116055{col 39}{space 2} .1097923{col 50}{space 1}    1.93{col 59}{space 3}0.054{col 67}{space 4}-.0035843{col 80}{space 3} .4267954
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2076335{col 39}{space 2} .1100063{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0079757{col 80}{space 3} .4232428
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2344036{col 39}{space 2} .1103702{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0180811{col 80}{space 3} .4507261
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2225387{col 39}{space 2} .1097663{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0073999{col 80}{space 3} .4376776
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2269422{col 39}{space 2} .1097663{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0118034{col 80}{space 3}  .442081
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2287268{col 39}{space 2} .1097682{col 50}{space 1}    2.08{col 59}{space 3}0.037{col 67}{space 4} .0135842{col 80}{space 3} .4438694
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2283076{col 39}{space 2}   .10977{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0131616{col 80}{space 3} .4434537
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2237941{col 39}{space 2}  .109769{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0086499{col 80}{space 3} .4389382
{txt}{space 22}37  {c |}{col 27}{res}{space 2}  .228902{col 39}{space 2} .1100985{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0131119{col 80}{space 3}  .444692
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2272542{col 39}{space 2} .1099814{col 50}{space 1}    2.07{col 59}{space 3}0.039{col 67}{space 4} .0116937{col 80}{space 3} .4428147
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2208519{col 39}{space 2} .1098916{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0054674{col 80}{space 3} .4362364
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2278976{col 39}{space 2} .1099256{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0124466{col 80}{space 3} .4433487
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3177333{col 39}{space 2} .1349775{col 50}{space 1}    2.35{col 59}{space 3}0.019{col 67}{space 4} .0531812{col 80}{space 3} .5822854
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.428475{col 39}{space 2} 1.361986{col 50}{space 1}   -1.78{col 59}{space 3}0.075{col 67}{space 4} -5.09793{col 80}{space 3} .2409788
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0030432{col 39}{space 2} .0057056{col 50}{space 1}   -0.53{col 59}{space 3}0.594{col 67}{space 4}-.0142259{col 80}{space 3} .0081396
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0035472{col 39}{space 2} .0353415{col 50}{space 1}   -0.10{col 59}{space 3}0.920{col 67}{space 4}-.0728155{col 80}{space 3} .0657211
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0024399{col 39}{space 2} .0071995{col 50}{space 1}   -0.34{col 59}{space 3}0.735{col 67}{space 4}-.0165507{col 80}{space 3} .0116708
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0845187{col 39}{space 2} .0470397{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-.1767153{col 80}{space 3} .0076778
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0020264{col 39}{space 2} .0048528{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4}-.0074848{col 80}{space 3} .0115377
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0166556{col 39}{space 2} .0258512{col 50}{space 1}    0.64{col 59}{space 3}0.519{col 67}{space 4}-.0340119{col 80}{space 3} .0673232
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0116693{col 39}{space 2} .0098834{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.0077018{col 80}{space 3} .0310404
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0391668{col 39}{space 2} .0442534{col 50}{space 1}    0.89{col 59}{space 3}0.376{col 67}{space 4}-.0475686{col 80}{space 3} .1259022
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0061225{col 39}{space 2} .0063256{col 50}{space 1}   -0.97{col 59}{space 3}0.333{col 67}{space 4}-.0185204{col 80}{space 3} .0062755
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0933622{col 39}{space 2} .0325586{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-.1571762{col 80}{space 3}-.0295481
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0326383{col 39}{space 2} .0205426{col 50}{space 1}    1.59{col 59}{space 3}0.112{col 67}{space 4}-.0076246{col 80}{space 3} .0729012
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1690747{col 39}{space 2} .1440798{col 50}{space 1}   -1.17{col 59}{space 3}0.241{col 67}{space 4} -.451467{col 80}{space 3} .1133177
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0012411{col 39}{space 2} .0054456{col 50}{space 1}   -0.23{col 59}{space 3}0.820{col 67}{space 4}-.0119144{col 80}{space 3} .0094321
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} -.033084{col 39}{space 2} .0304923{col 50}{space 1}   -1.08{col 59}{space 3}0.278{col 67}{space 4}-.0928481{col 80}{space 3} .0266801
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-.0001706{col 39}{space 2} .0075818{col 50}{space 1}   -0.02{col 59}{space 3}0.982{col 67}{space 4}-.0150307{col 80}{space 3} .0146895
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0193821{col 39}{space 2} .0409623{col 50}{space 1}   -0.47{col 59}{space 3}0.636{col 67}{space 4}-.0996669{col 80}{space 3} .0609028
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0013518{col 39}{space 2} .0145573{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.0298837{col 80}{space 3} .0271802
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0238953{col 39}{space 2} .0880641{col 50}{space 1}   -0.27{col 59}{space 3}0.786{col 67}{space 4}-.1964985{col 80}{space 3} .1487079
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1321272{col 39}{space 2} .1293032{col 50}{space 1}   -1.02{col 59}{space 3}0.307{col 67}{space 4}-.3855579{col 80}{space 3} .1213035
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1104541{col 39}{space 2} .2303915{col 50}{space 1}    0.48{col 59}{space 3}0.632{col 67}{space 4}-.3411068{col 80}{space 3}  .562015
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} -.001737{col 39}{space 2} .0100083{col 50}{space 1}   -0.17{col 59}{space 3}0.862{col 67}{space 4} -.021353{col 80}{space 3}  .017879
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0210355{col 39}{space 2} .1151191{col 50}{space 1}   -0.18{col 59}{space 3}0.855{col 67}{space 4}-.2466658{col 80}{space 3} .2045947
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0085789{col 39}{space 2} .0080419{col 50}{space 1}   -1.07{col 59}{space 3}0.286{col 67}{space 4}-.0243407{col 80}{space 3}  .007183
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0271917{col 39}{space 2}  .030785{col 50}{space 1}    0.88{col 59}{space 3}0.377{col 67}{space 4}-.0331461{col 80}{space 3} .0875296
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0043709{col 39}{space 2} .0057864{col 50}{space 1}   -0.76{col 59}{space 3}0.450{col 67}{space 4} -.015712{col 80}{space 3} .0069703
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0057646{col 39}{space 2}  .037604{col 50}{space 1}   -0.15{col 59}{space 3}0.878{col 67}{space 4}-.0794673{col 80}{space 3} .0679382
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0033166{col 39}{space 2} .0053774{col 50}{space 1}    0.62{col 59}{space 3}0.537{col 67}{space 4}-.0072228{col 80}{space 3} .0138561
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0029457{col 39}{space 2} .0308956{col 50}{space 1}    0.10{col 59}{space 3}0.924{col 67}{space 4}-.0576089{col 80}{space 3} .0635003
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0054077{col 39}{space 2} .0043452{col 50}{space 1}    1.24{col 59}{space 3}0.213{col 67}{space 4}-.0031088{col 80}{space 3} .0139242
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0205286{col 39}{space 2} .0233066{col 50}{space 1}    0.88{col 59}{space 3}0.378{col 67}{space 4}-.0251518{col 80}{space 3} .0662089
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} -.004204{col 39}{space 2} .0309972{col 50}{space 1}   -0.14{col 59}{space 3}0.892{col 67}{space 4}-.0649576{col 80}{space 3} .0565497
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}  .135035{col 39}{space 2} .0656758{col 50}{space 1}    2.06{col 59}{space 3}0.040{col 67}{space 4} .0063122{col 80}{space 3} .2637578
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0121986{col 39}{space 2} .0199976{col 50}{space 1}    0.61{col 59}{space 3}0.542{col 67}{space 4}-.0269962{col 80}{space 3} .0513934
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1050766{col 39}{space 2} .0914543{col 50}{space 1}    1.15{col 59}{space 3}0.251{col 67}{space 4}-.0741713{col 80}{space 3} .2843244
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0154037{col 39}{space 2} .0169798{col 50}{space 1}    0.91{col 59}{space 3}0.364{col 67}{space 4}-.0178763{col 80}{space 3} .0486836
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0463086{col 39}{space 2}  .101445{col 50}{space 1}   -0.46{col 59}{space 3}0.648{col 67}{space 4}-.2451379{col 80}{space 3} .1525207
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0147286{col 39}{space 2} .0112562{col 50}{space 1}    1.31{col 59}{space 3}0.191{col 67}{space 4}-.0073333{col 80}{space 3} .0367905
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} -.014242{col 39}{space 2} .0580308{col 50}{space 1}   -0.25{col 59}{space 3}0.806{col 67}{space 4}-.1279807{col 80}{space 3} .0994967
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000112{col 39}{space 2} .0000416{col 50}{space 1}   -0.27{col 59}{space 3}0.787{col 67}{space 4}-.0000927{col 80}{space 3} .0000703
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.21e-07{col 39}{space 2} 2.70e-07{col 50}{space 1}    3.41{col 59}{space 3}0.001{col 67}{space 4} 3.92e-07{col 80}{space 3} 1.45e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0139823{col 39}{space 2}  .001202{col 50}{space 1}   11.63{col 59}{space 3}0.000{col 67}{space 4} .0116264{col 80}{space 3} .0163382
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0005425{col 39}{space 2} .0005242{col 50}{space 1}    1.03{col 59}{space 3}0.301{col 67}{space 4}-.0004849{col 80}{space 3} .0015699
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0102184{col 39}{space 2} .0014891{col 50}{space 1}    6.86{col 59}{space 3}0.000{col 67}{space 4} .0072998{col 80}{space 3} .0131369
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000793{col 39}{space 2} .0000201{col 50}{space 1}   -3.94{col 59}{space 3}0.000{col 67}{space 4}-.0001188{col 80}{space 3}-.0000398
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.54e-06{col 39}{space 2} 1.68e-07{col 50}{space 1}    9.17{col 59}{space 3}0.000{col 67}{space 4} 1.21e-06{col 80}{space 3} 1.87e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0115646{col 39}{space 2} .0003793{col 50}{space 1}   30.49{col 59}{space 3}0.000{col 67}{space 4} .0108212{col 80}{space 3} .0123081
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0011338{col 39}{space 2} .0002092{col 50}{space 1}    5.42{col 59}{space 3}0.000{col 67}{space 4} .0007239{col 80}{space 3} .0015438
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4164573{col 39}{space 2}    .0017{col 50}{space 1}  244.97{col 59}{space 3}0.000{col 67}{space 4} .4131254{col 80}{space 3} .4197893
{txt}{space 15}WP_Age2010 {c |}{col 27}{res}{space 2}-.0000157{col 39}{space 2} .0000312{col 50}{space 1}   -0.50{col 59}{space 3}0.615{col 67}{space 4}-.0000769{col 80}{space 3} .0000455
{txt}{space 16}WP_Income {c |}{col 27}{res}{space 2} 2.03e-07{col 39}{space 2} 1.00e-07{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} 6.68e-09{col 80}{space 3} 4.00e-07
{txt}{space 6}WP_NumberOfChildren {c |}{col 27}{res}{space 2}-.0004465{col 39}{space 2} .0004599{col 50}{space 1}   -0.97{col 59}{space 3}0.332{col 67}{space 4}-.0013478{col 80}{space 3} .0004548
{txt}{space 15}WP_Married {c |}{col 27}{res}{space 2}  .002897{col 39}{space 2} .0009349{col 50}{space 1}    3.10{col 59}{space 3}0.002{col 67}{space 4} .0010647{col 80}{space 3} .0047294
{txt}{space 12}WP_NumWorkers {c |}{col 27}{res}{space 2}-.0000604{col 39}{space 2} .0000159{col 50}{space 1}   -3.79{col 59}{space 3}0.000{col 67}{space 4}-.0000916{col 80}{space 3}-.0000292
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2490.021
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.3e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2554.940
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
{col 23}WP_Age2010 WP_Income WP_NumberOfChildren WP_Married
{col 23}WP_NumWorkers
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. * iii) Adding firm characteristics
. ivreghdfe Voted2022  $main_controls  $FIRM_X  (WP_Voted2018 = WP_Relative_Voted2010) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}Org_AntalSys Ftg_Nettoomsattning_miss
{col 21}Ftg_Rorelseresultat_miss Ftg_Arets_resultat_miss
{col 21}Ftg_Eget_kapital_miss
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298634{txt}{col 55}Number of obs = {res} 1585303
{txt}{col 55}F(113,298633) = {res} 1070.34
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99322.73295{txt}{col 55}Centered R2   = {res}  0.2275
{txt}Total (uncentered) SS   = {res} 99322.73295{txt}{col 55}Uncentered R2 = {res}  0.2275
{txt}Residual SS             = {res} 76724.01905{txt}{col 55}Root MSE      = {res}   .2204

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0767676{col 39}{space 2} .0167059{col 50}{space 1}    4.60{col 59}{space 3}0.000{col 67}{space 4} .0440246{col 80}{space 3} .1095106
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353517{col 39}{space 2} .0010745{col 50}{space 1}   32.90{col 59}{space 3}0.000{col 67}{space 4} .0332456{col 80}{space 3} .0374577
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224349{col 39}{space 2} .0010744{col 50}{space 1}  113.95{col 59}{space 3}0.000{col 67}{space 4}  .120329{col 80}{space 3} .1245407
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1024583{col 39}{space 2} .0012897{col 50}{space 1}   79.44{col 59}{space 3}0.000{col 67}{space 4} .0999305{col 80}{space 3} .1049862
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2183746{col 39}{space 2} .1090886{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0045641{col 80}{space 3} .4321851
{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .214901{col 39}{space 2} .1091371{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0009954{col 80}{space 3} .4288066
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2091651{col 39}{space 2} .1090563{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0045823{col 80}{space 3} .4229125
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1822057{col 39}{space 2} .1092385{col 50}{space 1}    1.67{col 59}{space 3}0.095{col 67}{space 4}-.0318987{col 80}{space 3}   .39631
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .1969954{col 39}{space 2} .1090908{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0168195{col 80}{space 3} .4108103
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1622445{col 39}{space 2}  .110046{col 50}{space 1}    1.47{col 59}{space 3}0.140{col 67}{space 4}-.0534426{col 80}{space 3} .3779315
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2027379{col 39}{space 2} .1090632{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0110229{col 80}{space 3} .4164987
{txt}{space 23}9  {c |}{col 27}{res}{space 2}  .202119{col 39}{space 2} .1091286{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0117699{col 80}{space 3} .4160079
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{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .2909826{col 39}{space 2} .1342335{col 50}{space 1}    2.17{col 59}{space 3}0.030{col 67}{space 4} .0278887{col 80}{space 3} .5540765
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.478495{col 39}{space 2} 1.351104{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4} -5.12662{col 80}{space 3} .1696304
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0029445{col 39}{space 2} .0057012{col 50}{space 1}   -0.52{col 59}{space 3}0.606{col 67}{space 4}-.0141186{col 80}{space 3} .0082297
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0047215{col 39}{space 2} .0353254{col 50}{space 1}   -0.13{col 59}{space 3}0.894{col 67}{space 4}-.0739584{col 80}{space 3} .0645153
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0023961{col 39}{space 2}  .007198{col 50}{space 1}   -0.33{col 59}{space 3}0.739{col 67}{space 4}-.0165039{col 80}{space 3} .0117117
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0836829{col 39}{space 2} .0470515{col 50}{space 1}   -1.78{col 59}{space 3}0.075{col 67}{space 4}-.1759025{col 80}{space 3} .0085368
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0023442{col 39}{space 2}   .00485{col 50}{space 1}    0.48{col 59}{space 3}0.629{col 67}{space 4}-.0071616{col 80}{space 3} .0118501
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2}  .016726{col 39}{space 2} .0258547{col 50}{space 1}    0.65{col 59}{space 3}0.518{col 67}{space 4}-.0339485{col 80}{space 3} .0674005
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0111168{col 39}{space 2} .0098699{col 50}{space 1}    1.13{col 59}{space 3}0.260{col 67}{space 4} -.008228{col 80}{space 3} .0304616
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0383888{col 39}{space 2} .0443195{col 50}{space 1}    0.87{col 59}{space 3}0.386{col 67}{space 4}-.0484761{col 80}{space 3} .1252538
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0062053{col 39}{space 2} .0063101{col 50}{space 1}   -0.98{col 59}{space 3}0.325{col 67}{space 4}-.0185729{col 80}{space 3} .0061624
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0927369{col 39}{space 2}  .032559{col 50}{space 1}   -2.85{col 59}{space 3}0.004{col 67}{space 4}-.1565516{col 80}{space 3}-.0289221
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0307969{col 39}{space 2} .0205248{col 50}{space 1}    1.50{col 59}{space 3}0.133{col 67}{space 4}-.0094312{col 80}{space 3} .0710249
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1681517{col 39}{space 2} .1439547{col 50}{space 1}   -1.17{col 59}{space 3}0.243{col 67}{space 4} -.450299{col 80}{space 3} .1139956
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0014252{col 39}{space 2} .0054384{col 50}{space 1}   -0.26{col 59}{space 3}0.793{col 67}{space 4}-.0120843{col 80}{space 3}  .009234
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0337563{col 39}{space 2} .0304831{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-.0935023{col 80}{space 3} .0259896
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}-8.38e-06{col 39}{space 2} .0075778{col 50}{space 1}   -0.00{col 59}{space 3}0.999{col 67}{space 4}-.0148606{col 80}{space 3} .0148439
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0174743{col 39}{space 2} .0409558{col 50}{space 1}   -0.43{col 59}{space 3}0.670{col 67}{space 4}-.0977464{col 80}{space 3} .0627979
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0029516{col 39}{space 2} .0144309{col 50}{space 1}   -0.20{col 59}{space 3}0.838{col 67}{space 4}-.0312358{col 80}{space 3} .0253326
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2} .0086116{col 39}{space 2} .0863596{col 50}{space 1}    0.10{col 59}{space 3}0.921{col 67}{space 4}-.1606508{col 80}{space 3} .1778739
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1302642{col 39}{space 2}  .128877{col 50}{space 1}   -1.01{col 59}{space 3}0.312{col 67}{space 4}-.3828594{col 80}{space 3} .1223311
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2}  .107123{col 39}{space 2} .2277084{col 50}{space 1}    0.47{col 59}{space 3}0.638{col 67}{space 4} -.339179{col 80}{space 3}  .553425
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0023976{col 39}{space 2} .0100145{col 50}{space 1}   -0.24{col 59}{space 3}0.811{col 67}{space 4}-.0220257{col 80}{space 3} .0172305
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0234273{col 39}{space 2}  .115257{col 50}{space 1}   -0.20{col 59}{space 3}0.839{col 67}{space 4}-.2493277{col 80}{space 3} .2024731
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0080392{col 39}{space 2} .0080314{col 50}{space 1}   -1.00{col 59}{space 3}0.317{col 67}{space 4}-.0237804{col 80}{space 3} .0077021
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0259218{col 39}{space 2} .0307826{col 50}{space 1}    0.84{col 59}{space 3}0.400{col 67}{space 4}-.0344113{col 80}{space 3} .0862549
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0040444{col 39}{space 2} .0057842{col 50}{space 1}   -0.70{col 59}{space 3}0.484{col 67}{space 4}-.0153813{col 80}{space 3} .0072924
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0047743{col 39}{space 2}  .037599{col 50}{space 1}   -0.13{col 59}{space 3}0.899{col 67}{space 4}-.0784672{col 80}{space 3} .0689186
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0033716{col 39}{space 2} .0053789{col 50}{space 1}    0.63{col 59}{space 3}0.531{col 67}{space 4}-.0071709{col 80}{space 3} .0139141
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0014684{col 39}{space 2} .0309427{col 50}{space 1}    0.05{col 59}{space 3}0.962{col 67}{space 4}-.0591785{col 80}{space 3} .0621152
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0048062{col 39}{space 2} .0043192{col 50}{space 1}    1.11{col 59}{space 3}0.266{col 67}{space 4}-.0036593{col 80}{space 3} .0132718
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0211048{col 39}{space 2} .0233063{col 50}{space 1}    0.91{col 59}{space 3}0.365{col 67}{space 4}-.0245748{col 80}{space 3} .0667845
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0057705{col 39}{space 2} .0309836{col 50}{space 1}   -0.19{col 59}{space 3}0.852{col 67}{space 4}-.0664975{col 80}{space 3} .0549566
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2}  .132739{col 39}{space 2} .0649166{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0055043{col 80}{space 3} .2599736
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0128469{col 39}{space 2} .0200226{col 50}{space 1}    0.64{col 59}{space 3}0.521{col 67}{space 4}-.0263969{col 80}{space 3} .0520907
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1071602{col 39}{space 2} .0914402{col 50}{space 1}    1.17{col 59}{space 3}0.241{col 67}{space 4}-.0720601{col 80}{space 3} .2863804
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0162371{col 39}{space 2} .0169609{col 50}{space 1}    0.96{col 59}{space 3}0.338{col 67}{space 4}-.0170059{col 80}{space 3}   .04948
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0457016{col 39}{space 2} .1012818{col 50}{space 1}   -0.45{col 59}{space 3}0.652{col 67}{space 4}-.2442111{col 80}{space 3}  .152808
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0091814{col 39}{space 2} .0112115{col 50}{space 1}    0.82{col 59}{space 3}0.413{col 67}{space 4}-.0127928{col 80}{space 3} .0311557
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} .0095213{col 39}{space 2} .0578568{col 50}{space 1}    0.16{col 59}{space 3}0.869{col 67}{space 4}-.1038764{col 80}{space 3}  .122919
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} 4.05e-06{col 39}{space 2} .0000424{col 50}{space 1}    0.10{col 59}{space 3}0.924{col 67}{space 4} -.000079{col 80}{space 3} .0000871
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.87e-07{col 39}{space 2} 2.71e-07{col 50}{space 1}    3.27{col 59}{space 3}0.001{col 67}{space 4} 3.56e-07{col 80}{space 3} 1.42e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2}  .014096{col 39}{space 2} .0012095{col 50}{space 1}   11.65{col 59}{space 3}0.000{col 67}{space 4} .0117254{col 80}{space 3} .0164666
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003179{col 39}{space 2} .0005185{col 50}{space 1}    0.61{col 59}{space 3}0.540{col 67}{space 4}-.0006983{col 80}{space 3} .0013341
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0095306{col 39}{space 2} .0014833{col 50}{space 1}    6.43{col 59}{space 3}0.000{col 67}{space 4} .0066234{col 80}{space 3} .0124379
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000636{col 39}{space 2}   .00002{col 50}{space 1}   -3.18{col 59}{space 3}0.001{col 67}{space 4}-.0001029{col 80}{space 3}-.0000243
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.52e-06{col 39}{space 2} 1.67e-07{col 50}{space 1}    9.09{col 59}{space 3}0.000{col 67}{space 4} 1.19e-06{col 80}{space 3} 1.85e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0115169{col 39}{space 2}   .00038{col 50}{space 1}   30.31{col 59}{space 3}0.000{col 67}{space 4} .0107721{col 80}{space 3} .0122616
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010573{col 39}{space 2} .0001878{col 50}{space 1}    5.63{col 59}{space 3}0.000{col 67}{space 4} .0006892{col 80}{space 3} .0014254
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4162314{col 39}{space 2} .0016987{col 50}{space 1}  245.03{col 59}{space 3}0.000{col 67}{space 4}  .412902{col 80}{space 3} .4195608
{txt}{space 18}Org_Typ {c |}{col 27}{res}{space 2} .0015779{col 39}{space 2} .0004967{col 50}{space 1}    3.18{col 59}{space 3}0.001{col 67}{space 4} .0006044{col 80}{space 3} .0025515
{txt}{space 14}Org_LoneSum {c |}{col 27}{res}{space 2}-5.64e-10{col 39}{space 2} 8.60e-10{col 50}{space 1}   -0.66{col 59}{space 3}0.512{col 67}{space 4}-2.25e-09{col 80}{space 3} 1.12e-09
{txt}{space 11}Org_MenForGymn {c |}{col 27}{res}{space 2} .0000446{col 39}{space 2}  .000021{col 50}{space 1}    2.13{col 59}{space 3}0.033{col 67}{space 4} 3.52e-06{col 80}{space 3} .0000857
{txt}{space 14}Org_MenGymn {c |}{col 27}{res}{space 2} .0000714{col 39}{space 2} .0000197{col 50}{space 1}    3.63{col 59}{space 3}0.000{col 67}{space 4} .0000328{col 80}{space 3} .0001099
{txt}{space 12}Org_MenEGymnK {c |}{col 27}{res}{space 2} .0000656{col 39}{space 2} .0000199{col 50}{space 1}    3.30{col 59}{space 3}0.001{col 67}{space 4} .0000267{col 80}{space 3} .0001046
{txt}{space 12}Org_MenEGymnL {c |}{col 27}{res}{space 2} .0000679{col 39}{space 2}   .00002{col 50}{space 1}    3.40{col 59}{space 3}0.001{col 67}{space 4} .0000288{col 80}{space 3} .0001071
{txt}{space 12}Org_KvForGymn {c |}{col 27}{res}{space 2} -.000069{col 39}{space 2} .0000293{col 50}{space 1}   -2.35{col 59}{space 3}0.019{col 67}{space 4}-.0001265{col 80}{space 3}-.0000115
{txt}{space 15}Org_KvGymn {c |}{col 27}{res}{space 2}-.0000828{col 39}{space 2} .0000282{col 50}{space 1}   -2.93{col 59}{space 3}0.003{col 67}{space 4}-.0001382{col 80}{space 3}-.0000275
{txt}{space 13}Org_KvEGymnK {c |}{col 27}{res}{space 2}-.0000746{col 39}{space 2} .0000287{col 50}{space 1}   -2.60{col 59}{space 3}0.009{col 67}{space 4}-.0001308{col 80}{space 3}-.0000184
{txt}{space 13}Org_KvEGymnL {c |}{col 27}{res}{space 2}-.0000792{col 39}{space 2} .0000284{col 50}{space 1}   -2.79{col 59}{space 3}0.005{col 67}{space 4}-.0001349{col 80}{space 3}-.0000235
{txt}{space 18}Org_Men {c |}{col 27}{res}{space 2}-.0000665{col 39}{space 2} .0000198{col 50}{space 1}   -3.36{col 59}{space 3}0.001{col 67}{space 4}-.0001052{col 80}{space 3}-.0000278
{txt}{space 19}Org_Kv {c |}{col 27}{res}{space 2} .0000798{col 39}{space 2} .0000284{col 50}{space 1}    2.81{col 59}{space 3}0.005{col 67}{space 4} .0000242{col 80}{space 3} .0001355
{txt}{space 13}Org_AntalSys {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 12}Org_AntalPers {c |}{col 27}{res}{space 2}-3.43e-07{col 39}{space 2} 1.34e-07{col 50}{space 1}   -2.56{col 59}{space 3}0.011{col 67}{space 4}-6.06e-07{col 80}{space 3}-8.02e-08
{txt}{space 14}Org_Sni2007 {c |}{col 27}{res}{space 2}-6.92e-08{col 39}{space 2} 1.32e-08{col 50}{space 1}   -5.26{col 59}{space 3}0.000{col 67}{space 4}-9.49e-08{col 80}{space 3}-4.34e-08
{txt}{space 6}Ftg_Antal_anstallda {c |}{col 27}{res}{space 2}-3.31e-07{col 39}{space 2} 2.75e-07{col 50}{space 1}   -1.20{col 59}{space 3}0.229{col 67}{space 4}-8.70e-07{col 80}{space 3} 2.09e-07
{txt}{space 6}Ftg_Nettoomsattning {c |}{col 27}{res}{space 2} 1.00e-10{col 39}{space 2} 4.53e-11{col 50}{space 1}    2.21{col 59}{space 3}0.027{col 67}{space 4} 1.12e-11{col 80}{space 3} 1.89e-10
{txt}{space 6}Ftg_Rorelseresultat {c |}{col 27}{res}{space 2}-2.48e-10{col 39}{space 2} 2.45e-10{col 50}{space 1}   -1.01{col 59}{space 3}0.310{col 67}{space 4}-7.27e-10{col 80}{space 3} 2.31e-10
{txt}{space 7}Ftg_Arets_resultat {c |}{col 27}{res}{space 2}-3.39e-10{col 39}{space 2} 2.49e-10{col 50}{space 1}   -1.36{col 59}{space 3}0.173{col 67}{space 4}-8.26e-10{col 80}{space 3} 1.49e-10
{txt}{space 9}Ftg_Eget_kapital {c |}{col 27}{res}{space 2} 4.12e-11{col 39}{space 2} 2.80e-11{col 50}{space 1}    1.47{col 59}{space 3}0.140{col 67}{space 4}-1.36e-11{col 80}{space 3} 9.61e-11
{txt}{space 1}Ftg_Antal_anstallda_miss {c |}{col 27}{res}{space 2}  .000378{col 39}{space 2} .0006212{col 50}{space 1}    0.61{col 59}{space 3}0.543{col 67}{space 4}-.0008395{col 80}{space 3} .0015954
{txt}{space 1}Ftg_Nettoomsattning_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 1}Ftg_Rorelseresultat_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 2}Ftg_Arets_resultat_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}Ftg_Eget_kapital_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2587.827
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.3e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2654.846
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
{col 23}Org_Typ Org_LoneSum Org_MenForGymn Org_MenGymn
{col 23}Org_MenEGymnK Org_MenEGymnL Org_KvForGymn Org_KvGymn
{col 23}Org_KvEGymnK Org_KvEGymnL Org_Men Org_Kv Org_AntalPers
{col 23}Org_Sni2007 Ftg_Antal_anstallda Ftg_Nettoomsattning
{col 23}Ftg_Rorelseresultat Ftg_Arets_resultat Ftg_Eget_kapital
{col 23}Ftg_Antal_anstallda_miss
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}Org_AntalSys Ftg_Nettoomsattning_miss
{col 23}Ftg_Rorelseresultat_miss Ftg_Arets_resultat_miss
{col 23}Ftg_Eget_kapital_miss
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. * iv) Adding both  workplace and firm characteristics
. ivreghdfe Voted2022  $main_controls $WP_X $FIRM_X (WP_Voted2018 = WP_Relative_Voted2010) $insample , cluster(WP_HPG_id) absorb($FE) 
{res}{txt}Warning - collinearities detected
Vars dropped:{col 21}Org_AntalSys Ftg_Nettoomsattning_miss
{col 21}Ftg_Rorelseresultat_miss Ftg_Arets_resultat_miss
{col 21}Ftg_Eget_kapital_miss
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298634{txt}{col 55}Number of obs = {res} 1585303
{txt}{col 55}F(118,298633) = {res} 1025.68
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99322.73295{txt}{col 55}Centered R2   = {res}  0.2276
{txt}Total (uncentered) SS   = {res} 99322.73295{txt}{col 55}Uncentered R2 = {res}  0.2276
{txt}Residual SS             = {res} 76717.85943{txt}{col 55}Root MSE      = {res}   .2204

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}WP_Voted2018 {c |}{col 27}{res}{space 2} .0749972{col 39}{space 2}  .017192{col 50}{space 1}    4.36{col 59}{space 3}0.000{col 67}{space 4} .0413013{col 80}{space 3} .1086931
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353396{col 39}{space 2} .0010743{col 50}{space 1}   32.90{col 59}{space 3}0.000{col 67}{space 4}  .033234{col 80}{space 3} .0374451
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224222{col 39}{space 2} .0010739{col 50}{space 1}  114.00{col 59}{space 3}0.000{col 67}{space 4} .1203174{col 80}{space 3} .1245271
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1025285{col 39}{space 2} .0012905{col 50}{space 1}   79.45{col 59}{space 3}0.000{col 67}{space 4} .0999992{col 80}{space 3} .1050579
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2192626{col 39}{space 2} .1092438{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4}  .005148{col 80}{space 3} .4333773
{txt}{space 23}3  {c |}{col 27}{res}{space 2}  .216191{col 39}{space 2} .1092929{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4}   .00198{col 80}{space 3}  .430402
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2106689{col 39}{space 2} .1092129{col 50}{space 1}    1.93{col 59}{space 3}0.054{col 67}{space 4}-.0033853{col 80}{space 3} .4247231
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1839782{col 39}{space 2} .1093959{col 50}{space 1}    1.68{col 59}{space 3}0.093{col 67}{space 4}-.0304347{col 80}{space 3} .3983911
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .1986572{col 39}{space 2} .1092479{col 50}{space 1}    1.82{col 59}{space 3}0.069{col 67}{space 4}-.0154656{col 80}{space 3} .4127799
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1640172{col 39}{space 2} .1102023{col 50}{space 1}    1.49{col 59}{space 3}0.137{col 67}{space 4}-.0519762{col 80}{space 3} .3800106
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2046903{col 39}{space 2} .1092207{col 50}{space 1}    1.87{col 59}{space 3}0.061{col 67}{space 4}-.0093792{col 80}{space 3} .4187599
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2041613{col 39}{space 2} .1092861{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0100363{col 80}{space 3}  .418359
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1790082{col 39}{space 2} .1096706{col 50}{space 1}    1.63{col 59}{space 3}0.103{col 67}{space 4} -.035943{col 80}{space 3} .3939594
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3484514{col 39}{space 2}  .153552{col 50}{space 1}    2.27{col 59}{space 3}0.023{col 67}{space 4} .0474938{col 80}{space 3} .6494091
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2200309{col 39}{space 2} .1094283{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0055545{col 80}{space 3} .4345073
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2246501{col 39}{space 2} .1093381{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0103506{col 80}{space 3} .4389497
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2196349{col 39}{space 2} .1092499{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0055083{col 80}{space 3} .4337616
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2125991{col 39}{space 2} .1092311{col 50}{space 1}    1.95{col 59}{space 3}0.052{col 67}{space 4}-.0014908{col 80}{space 3} .4266891
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .2014773{col 39}{space 2} .1091955{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0125428{col 80}{space 3} .4154973
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2058683{col 39}{space 2} .1118328{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0133208{col 80}{space 3} .4250575
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1923829{col 39}{space 2} .1102215{col 50}{space 1}    1.75{col 59}{space 3}0.081{col 67}{space 4}-.0236481{col 80}{space 3} .4084139
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1949994{col 39}{space 2} .1098874{col 50}{space 1}    1.77{col 59}{space 3}0.076{col 67}{space 4}-.0203769{col 80}{space 3} .4103757
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1892075{col 39}{space 2} .1094849{col 50}{space 1}    1.73{col 59}{space 3}0.084{col 67}{space 4}-.0253799{col 80}{space 3} .4037949
{txt}{space 22}21  {c |}{col 27}{res}{space 2}  .201394{col 39}{space 2}  .109883{col 50}{space 1}    1.83{col 59}{space 3}0.067{col 67}{space 4}-.0139737{col 80}{space 3} .4167617
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2132716{col 39}{space 2} .1091639{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0006866{col 80}{space 3} .4272299
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2198508{col 39}{space 2} .1091609{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0058985{col 80}{space 3} .4338031
{txt}{space 22}24  {c |}{col 27}{res}{space 2}   .21902{col 39}{space 2} .1091617{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0050663{col 80}{space 3} .4329738
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2159662{col 39}{space 2} .1091799{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0019767{col 80}{space 3} .4299556
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2168731{col 39}{space 2} .1091741{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0028949{col 80}{space 3} .4308513
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2065036{col 39}{space 2} .1097521{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0086075{col 80}{space 3} .4216147
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2111657{col 39}{space 2} .1091983{col 50}{space 1}    1.93{col 59}{space 3}0.053{col 67}{space 4}-.0028599{col 80}{space 3} .4251912
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2055366{col 39}{space 2} .1091893{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0084713{col 80}{space 3} .4195446
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2084192{col 39}{space 2} .1093998{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0060013{col 80}{space 3} .4228398
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2143993{col 39}{space 2} .1098434{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0008906{col 80}{space 3} .4296892
{txt}{space 22}32  {c |}{col 27}{res}{space 2}   .21853{col 39}{space 2} .1091624{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0045748{col 80}{space 3} .4324852
{txt}{space 22}33  {c |}{col 27}{res}{space 2}  .223424{col 39}{space 2} .1091613{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4}  .009471{col 80}{space 3}  .437377
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2232225{col 39}{space 2} .1091639{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0092644{col 80}{space 3} .4371807
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2234112{col 39}{space 2} .1091653{col 50}{space 1}    2.05{col 59}{space 3}0.041{col 67}{space 4} .0094504{col 80}{space 3} .4373721
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2196891{col 39}{space 2} .1091642{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0057304{col 80}{space 3} .4336478
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2249186{col 39}{space 2}  .109497{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0103076{col 80}{space 3} .4395296
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2203966{col 39}{space 2} .1093938{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0059878{col 80}{space 3} .4348054
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2150444{col 39}{space 2} .1092891{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0008409{col 80}{space 3} .4292479
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2264415{col 39}{space 2} .1093173{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0121827{col 80}{space 3} .4407003
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .2939246{col 39}{space 2} .1346088{col 50}{space 1}    2.18{col 59}{space 3}0.029{col 67}{space 4} .0300952{col 80}{space 3} .5577541
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2} -2.46496{col 39}{space 2} 1.354647{col 50}{space 1}   -1.82{col 59}{space 3}0.069{col 67}{space 4}-5.120031{col 80}{space 3} .1901102
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0030544{col 39}{space 2} .0056989{col 50}{space 1}   -0.54{col 59}{space 3}0.592{col 67}{space 4}-.0142241{col 80}{space 3} .0081154
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0046985{col 39}{space 2} .0353373{col 50}{space 1}   -0.13{col 59}{space 3}0.894{col 67}{space 4}-.0739587{col 80}{space 3} .0645616
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0023428{col 39}{space 2} .0071966{col 50}{space 1}   -0.33{col 59}{space 3}0.745{col 67}{space 4}-.0164479{col 80}{space 3} .0117623
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0832636{col 39}{space 2} .0470909{col 50}{space 1}   -1.77{col 59}{space 3}0.077{col 67}{space 4}-.1755605{col 80}{space 3} .0090332
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0023326{col 39}{space 2} .0048484{col 50}{space 1}    0.48{col 59}{space 3}0.630{col 67}{space 4}-.0071701{col 80}{space 3} .0118354
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0170051{col 39}{space 2} .0258433{col 50}{space 1}    0.66{col 59}{space 3}0.511{col 67}{space 4} -.033647{col 80}{space 3} .0676571
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0112627{col 39}{space 2} .0098725{col 50}{space 1}    1.14{col 59}{space 3}0.254{col 67}{space 4}-.0080871{col 80}{space 3} .0306126
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2}  .038883{col 39}{space 2} .0442733{col 50}{space 1}    0.88{col 59}{space 3}0.380{col 67}{space 4}-.0478913{col 80}{space 3} .1256574
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0059781{col 39}{space 2} .0063212{col 50}{space 1}   -0.95{col 59}{space 3}0.344{col 67}{space 4}-.0183675{col 80}{space 3} .0064113
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0925666{col 39}{space 2} .0325432{col 50}{space 1}   -2.84{col 59}{space 3}0.004{col 67}{space 4}-.1563503{col 80}{space 3} -.028783
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0305932{col 39}{space 2}   .02053{col 50}{space 1}    1.49{col 59}{space 3}0.136{col 67}{space 4}-.0096452{col 80}{space 3} .0708315
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1689617{col 39}{space 2} .1439689{col 50}{space 1}   -1.17{col 59}{space 3}0.241{col 67}{space 4}-.4511367{col 80}{space 3} .1132133
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0012583{col 39}{space 2}  .005445{col 50}{space 1}   -0.23{col 59}{space 3}0.817{col 67}{space 4}-.0119304{col 80}{space 3} .0094138
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0340669{col 39}{space 2} .0304704{col 50}{space 1}   -1.12{col 59}{space 3}0.264{col 67}{space 4}-.0937881{col 80}{space 3} .0256543
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}  .000062{col 39}{space 2} .0075779{col 50}{space 1}    0.01{col 59}{space 3}0.993{col 67}{space 4}-.0147904{col 80}{space 3} .0149145
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0177045{col 39}{space 2} .0409378{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.0979415{col 80}{space 3} .0625325
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0028027{col 39}{space 2} .0144361{col 50}{space 1}   -0.19{col 59}{space 3}0.846{col 67}{space 4} -.031097{col 80}{space 3} .0254916
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2} .0088714{col 39}{space 2} .0863006{col 50}{space 1}    0.10{col 59}{space 3}0.918{col 67}{space 4}-.1602753{col 80}{space 3}  .178018
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}  -.12947{col 39}{space 2}  .129338{col 50}{space 1}   -1.00{col 59}{space 3}0.317{col 67}{space 4}-.3829689{col 80}{space 3}  .124029
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .1086434{col 39}{space 2} .2287221{col 50}{space 1}    0.48{col 59}{space 3}0.635{col 67}{space 4}-.3396455{col 80}{space 3} .5569322
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0022732{col 39}{space 2} .0100163{col 50}{space 1}   -0.23{col 59}{space 3}0.820{col 67}{space 4}-.0219048{col 80}{space 3} .0173584
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0230255{col 39}{space 2} .1150883{col 50}{space 1}   -0.20{col 59}{space 3}0.841{col 67}{space 4}-.2485954{col 80}{space 3} .2025444
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0079337{col 39}{space 2} .0080323{col 50}{space 1}   -0.99{col 59}{space 3}0.323{col 67}{space 4}-.0236768{col 80}{space 3} .0078095
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0262006{col 39}{space 2} .0307782{col 50}{space 1}    0.85{col 59}{space 3}0.395{col 67}{space 4}-.0341239{col 80}{space 3}  .086525
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0040365{col 39}{space 2} .0057826{col 50}{space 1}   -0.70{col 59}{space 3}0.485{col 67}{space 4}-.0153702{col 80}{space 3} .0072971
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0047928{col 39}{space 2} .0375948{col 50}{space 1}   -0.13{col 59}{space 3}0.899{col 67}{space 4}-.0784776{col 80}{space 3} .0688919
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0034912{col 39}{space 2} .0053799{col 50}{space 1}    0.65{col 59}{space 3}0.516{col 67}{space 4}-.0070532{col 80}{space 3} .0140356
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2}  .001853{col 39}{space 2} .0309382{col 50}{space 1}    0.06{col 59}{space 3}0.952{col 67}{space 4}-.0587849{col 80}{space 3}  .062491
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0049772{col 39}{space 2} .0043427{col 50}{space 1}    1.15{col 59}{space 3}0.252{col 67}{space 4}-.0035343{col 80}{space 3} .0134887
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0217752{col 39}{space 2} .0232855{col 50}{space 1}    0.94{col 59}{space 3}0.350{col 67}{space 4}-.0238638{col 80}{space 3} .0674142
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0055815{col 39}{space 2} .0309978{col 50}{space 1}   -0.18{col 59}{space 3}0.857{col 67}{space 4}-.0663364{col 80}{space 3} .0551733
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1309505{col 39}{space 2} .0650594{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0034359{col 80}{space 3} .2584651
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0130906{col 39}{space 2} .0200089{col 50}{space 1}    0.65{col 59}{space 3}0.513{col 67}{space 4}-.0261262{col 80}{space 3} .0523075
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1078816{col 39}{space 2} .0913658{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.0711929{col 80}{space 3}  .286956
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}  .016325{col 39}{space 2} .0169614{col 50}{space 1}    0.96{col 59}{space 3}0.336{col 67}{space 4} -.016919{col 80}{space 3} .0495689
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0459623{col 39}{space 2} .1012461{col 50}{space 1}   -0.45{col 59}{space 3}0.650{col 67}{space 4}-.2444017{col 80}{space 3} .1524772
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0095844{col 39}{space 2} .0112239{col 50}{space 1}    0.85{col 59}{space 3}0.393{col 67}{space 4}-.0124141{col 80}{space 3}  .031583
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2} .0099097{col 39}{space 2} .0578149{col 50}{space 1}    0.17{col 59}{space 3}0.864{col 67}{space 4}-.1034058{col 80}{space 3} .1232252
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-5.46e-06{col 39}{space 2} .0000416{col 50}{space 1}   -0.13{col 59}{space 3}0.896{col 67}{space 4}-.0000869{col 80}{space 3}  .000076
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.90e-07{col 39}{space 2} 2.70e-07{col 50}{space 1}    3.30{col 59}{space 3}0.001{col 67}{space 4} 3.61e-07{col 80}{space 3} 1.42e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0138616{col 39}{space 2} .0012011{col 50}{space 1}   11.54{col 59}{space 3}0.000{col 67}{space 4} .0115075{col 80}{space 3} .0162157
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0005759{col 39}{space 2}  .000524{col 50}{space 1}    1.10{col 59}{space 3}0.272{col 67}{space 4}-.0004512{col 80}{space 3}  .001603
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0096912{col 39}{space 2} .0014872{col 50}{space 1}    6.52{col 59}{space 3}0.000{col 67}{space 4} .0067763{col 80}{space 3} .0126062
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000714{col 39}{space 2} .0000202{col 50}{space 1}   -3.53{col 59}{space 3}0.000{col 67}{space 4}-.0001111{col 80}{space 3}-.0000317
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.50e-06{col 39}{space 2} 1.65e-07{col 50}{space 1}    9.08{col 59}{space 3}0.000{col 67}{space 4} 1.18e-06{col 80}{space 3} 1.82e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0114801{col 39}{space 2} .0003791{col 50}{space 1}   30.29{col 59}{space 3}0.000{col 67}{space 4} .0107372{col 80}{space 3}  .012223
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0011465{col 39}{space 2} .0002091{col 50}{space 1}    5.48{col 59}{space 3}0.000{col 67}{space 4} .0007366{col 80}{space 3} .0015564
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4162213{col 39}{space 2} .0016986{col 50}{space 1}  245.04{col 59}{space 3}0.000{col 67}{space 4} .4128921{col 80}{space 3} .4195505
{txt}{space 15}WP_Age2010 {c |}{col 27}{res}{space 2} .0000136{col 39}{space 2} .0000316{col 50}{space 1}    0.43{col 59}{space 3}0.666{col 67}{space 4}-.0000483{col 80}{space 3} .0000756
{txt}{space 16}WP_Income {c |}{col 27}{res}{space 2} 7.80e-08{col 39}{space 2} 9.81e-08{col 50}{space 1}    0.79{col 59}{space 3}0.427{col 67}{space 4}-1.14e-07{col 80}{space 3} 2.70e-07
{txt}{space 6}WP_NumberOfChildren {c |}{col 27}{res}{space 2}-.0005088{col 39}{space 2} .0004594{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-.0014092{col 80}{space 3} .0003916
{txt}{space 15}WP_Married {c |}{col 27}{res}{space 2} .0026138{col 39}{space 2} .0009302{col 50}{space 1}    2.81{col 59}{space 3}0.005{col 67}{space 4} .0007907{col 80}{space 3} .0044369
{txt}{space 12}WP_NumWorkers {c |}{col 27}{res}{space 2}-.0000628{col 39}{space 2} .0000165{col 50}{space 1}   -3.80{col 59}{space 3}0.000{col 67}{space 4}-.0000952{col 80}{space 3}-.0000305
{txt}{space 18}Org_Typ {c |}{col 27}{res}{space 2} .0017313{col 39}{space 2} .0004979{col 50}{space 1}    3.48{col 59}{space 3}0.001{col 67}{space 4} .0007554{col 80}{space 3} .0027071
{txt}{space 14}Org_LoneSum {c |}{col 27}{res}{space 2}-5.85e-10{col 39}{space 2} 8.61e-10{col 50}{space 1}   -0.68{col 59}{space 3}0.497{col 67}{space 4}-2.27e-09{col 80}{space 3} 1.10e-09
{txt}{space 11}Org_MenForGymn {c |}{col 27}{res}{space 2} .0000422{col 39}{space 2} .0000209{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} 1.17e-06{col 80}{space 3} .0000832
{txt}{space 14}Org_MenGymn {c |}{col 27}{res}{space 2}  .000069{col 39}{space 2} .0000196{col 50}{space 1}    3.51{col 59}{space 3}0.000{col 67}{space 4} .0000305{col 80}{space 3} .0001075
{txt}{space 12}Org_MenEGymnK {c |}{col 27}{res}{space 2} .0000634{col 39}{space 2} .0000198{col 50}{space 1}    3.20{col 59}{space 3}0.001{col 67}{space 4} .0000246{col 80}{space 3} .0001023
{txt}{space 12}Org_MenEGymnL {c |}{col 27}{res}{space 2} .0000655{col 39}{space 2} .0000199{col 50}{space 1}    3.29{col 59}{space 3}0.001{col 67}{space 4} .0000265{col 80}{space 3} .0001046
{txt}{space 12}Org_KvForGymn {c |}{col 27}{res}{space 2}-.0000692{col 39}{space 2} .0000292{col 50}{space 1}   -2.37{col 59}{space 3}0.018{col 67}{space 4}-.0001265{col 80}{space 3}-.0000119
{txt}{space 15}Org_KvGymn {c |}{col 27}{res}{space 2}-.0000827{col 39}{space 2} .0000281{col 50}{space 1}   -2.94{col 59}{space 3}0.003{col 67}{space 4}-.0001379{col 80}{space 3}-.0000275
{txt}{space 13}Org_KvEGymnK {c |}{col 27}{res}{space 2}-.0000748{col 39}{space 2} .0000286{col 50}{space 1}   -2.62{col 59}{space 3}0.009{col 67}{space 4}-.0001309{col 80}{space 3}-.0000188
{txt}{space 13}Org_KvEGymnL {c |}{col 27}{res}{space 2}-.0000791{col 39}{space 2} .0000283{col 50}{space 1}   -2.79{col 59}{space 3}0.005{col 67}{space 4}-.0001346{col 80}{space 3}-.0000236
{txt}{space 18}Org_Men {c |}{col 27}{res}{space 2}-.0000641{col 39}{space 2} .0000197{col 50}{space 1}   -3.25{col 59}{space 3}0.001{col 67}{space 4}-.0001027{col 80}{space 3}-.0000254
{txt}{space 19}Org_Kv {c |}{col 27}{res}{space 2} .0000798{col 39}{space 2} .0000283{col 50}{space 1}    2.82{col 59}{space 3}0.005{col 67}{space 4} .0000243{col 80}{space 3} .0001352
{txt}{space 13}Org_AntalSys {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 12}Org_AntalPers {c |}{col 27}{res}{space 2}-3.40e-07{col 39}{space 2} 1.34e-07{col 50}{space 1}   -2.54{col 59}{space 3}0.011{col 67}{space 4}-6.03e-07{col 80}{space 3}-7.77e-08
{txt}{space 14}Org_Sni2007 {c |}{col 27}{res}{space 2}-7.04e-08{col 39}{space 2} 1.31e-08{col 50}{space 1}   -5.36{col 59}{space 3}0.000{col 67}{space 4}-9.62e-08{col 80}{space 3}-4.47e-08
{txt}{space 6}Ftg_Antal_anstallda {c |}{col 27}{res}{space 2}-2.79e-07{col 39}{space 2} 2.76e-07{col 50}{space 1}   -1.01{col 59}{space 3}0.311{col 67}{space 4}-8.19e-07{col 80}{space 3} 2.61e-07
{txt}{space 6}Ftg_Nettoomsattning {c |}{col 27}{res}{space 2} 1.01e-10{col 39}{space 2} 4.52e-11{col 50}{space 1}    2.24{col 59}{space 3}0.025{col 67}{space 4} 1.26e-11{col 80}{space 3} 1.90e-10
{txt}{space 6}Ftg_Rorelseresultat {c |}{col 27}{res}{space 2}-1.88e-10{col 39}{space 2} 2.45e-10{col 50}{space 1}   -0.77{col 59}{space 3}0.443{col 67}{space 4}-6.69e-10{col 80}{space 3} 2.92e-10
{txt}{space 7}Ftg_Arets_resultat {c |}{col 27}{res}{space 2}-3.67e-10{col 39}{space 2} 2.50e-10{col 50}{space 1}   -1.47{col 59}{space 3}0.142{col 67}{space 4}-8.56e-10{col 80}{space 3} 1.23e-10
{txt}{space 9}Ftg_Eget_kapital {c |}{col 27}{res}{space 2} 4.00e-11{col 39}{space 2} 2.80e-11{col 50}{space 1}    1.43{col 59}{space 3}0.152{col 67}{space 4}-1.48e-11{col 80}{space 3} 9.49e-11
{txt}{space 1}Ftg_Antal_anstallda_miss {c |}{col 27}{res}{space 2} .0004232{col 39}{space 2} .0006188{col 50}{space 1}    0.68{col 59}{space 3}0.494{col 67}{space 4}-.0007897{col 80}{space 3} .0016361
{txt}{space 1}Ftg_Nettoomsattning_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 1}Ftg_Rorelseresultat_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 2}Ftg_Arets_resultat_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 4}Ftg_Eget_kapital_miss {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2463.088
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71} 1.2e+04
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}2526.232
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
{col 23}WP_Age2010 WP_Income WP_NumberOfChildren WP_Married
{col 23}WP_NumWorkers Org_Typ Org_LoneSum Org_MenForGymn
{col 23}Org_MenGymn Org_MenEGymnK Org_MenEGymnL Org_KvForGymn
{col 23}Org_KvGymn Org_KvEGymnK Org_KvEGymnL Org_Men Org_Kv
{col 23}Org_AntalPers Org_Sni2007 Ftg_Antal_anstallda
{col 23}Ftg_Nettoomsattning Ftg_Rorelseresultat Ftg_Arets_resultat
{col 23}Ftg_Eget_kapital Ftg_Antal_anstallda_miss
Excluded instruments:{col 23}WP_Relative_Voted2010
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Dropped collinear:{col 23}Org_AntalSys Ftg_Nettoomsattning_miss
{col 23}Ftg_Rorelseresultat_miss Ftg_Arets_resultat_miss
{col 23}Ftg_Eget_kapital_miss
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. 
. *****************************************************************
. *********** FIGURE A1: MTE  ***********
. ***************************************************************
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
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{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. 
. *Binary treatment and instrument 
. g WP_Voted2018_b = .
{txt}(2,083,950 missing values generated)

{com}. g WP_Relative_Voted2010_b=.
{txt}(2,083,950 missing values generated)

{com}. replace WP_Voted2018_b = 1 if WP_Voted2018==1
{txt}(1,105,766 real changes made)

{com}. replace WP_Voted2018_b = 0 if WP_Voted2018<1
{txt}(978,184 real changes made)

{com}. 
. quietly reghdfe  WP_Relative_Voted2010  $main_controls $insample, cluster(WP_HPG_id) absorb($FE) res(WP_Relative_Voted2010_res)
{txt}
{com}. xtile  WP_Relative_Voted2010_br =  WP_Relative_Voted2010_res $insample, n(2)
{txt}
{com}. replace WP_Relative_Voted2010_br = WP_Relative_Voted2010_br -1 
{txt}(1,585,336 real changes made)

{com}. 
. foreach x in Voted2022 Voted2018 Relative_Voted2010 IndexWorkerVoted2010 IndexWorkerVoted2010Miss WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married WP_Relative_NumberOfChildren WP_Relative_Employed diffIndexRel_Age2010 diffIndexRel_Income diffIndexRel_Married diffIndexRel_NumChild{c -(}
{txt}  2{com}.         quietly reghdfe `x' $WP_HPG_type_Edu, absorb($FE WP_HPG_type) res(`x'_res)
{txt}  3{com}. {c )-}
{txt}
{com}. rename WP_Relative_NumberOfChildren_res WP_Relative_NChildren_res
{res}{txt}
{com}. rename IndexWorkerVoted2010Miss_res IndexWV2010Miss_res
{res}{txt}
{com}. 
. global x_res "Voted2018_res Relative_Voted2010_res IndexWorkerVoted2010_res IndexWV2010Miss_res WP_Relative_Age2010_res WP_Relative_Income_res WP_Relative_Married_res WP_Relative_NChildren_res WP_Relative_Employed_res diffIndexRel_Age2010_res diffIndexRel_Income_res diffIndexRel_Married_res diffIndexRel_NumChild_res"
{txt}
{com}. 
. ivreghdfe Voted2022_res  $x_res (WP_Voted2018_b = WP_Relative_Voted2010_res) $insample, cluster(WP_HPG_id) nabsorb
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 14,298639) = {res} 7408.51
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 97158.13869{txt}{col 55}Centered R2   = {res}  0.2053
{txt}Total (uncentered) SS   = {res} 97158.21603{txt}{col 55}Uncentered R2 = {res}  0.2053
{txt}Residual SS             = {res} 77211.31053{txt}{col 55}Root MSE      = {res}   .2207

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            Voted2022_res{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      z{col 59}   P>|z|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}WP_Voted2018_b {c |}{col 27}{res}{space 2} .0411849{col 39}{space 2} .0085489{col 50}{space 1}    4.82{col 59}{space 3}0.000{col 67}{space 4} .0244294{col 80}{space 3} .0579403
{txt}{space 12}Voted2018_res {c |}{col 27}{res}{space 2} .4163158{col 39}{space 2} .0017044{col 50}{space 1}  244.25{col 59}{space 3}0.000{col 67}{space 4} .4129752{col 80}{space 3} .4196565
{txt}{space 3}Relative_Voted2010_res {c |}{col 27}{res}{space 2} .0353744{col 39}{space 2} .0010749{col 50}{space 1}   32.91{col 59}{space 3}0.000{col 67}{space 4} .0332677{col 80}{space 3}  .037481
{txt}{space 1}IndexWorkerVoted2010_res {c |}{col 27}{res}{space 2} .1224592{col 39}{space 2} .0010754{col 50}{space 1}  113.88{col 59}{space 3}0.000{col 67}{space 4} .1203516{col 80}{space 3} .1245669
{txt}{space 6}IndexWV2010Miss_res {c |}{col 27}{res}{space 2} .1027045{col 39}{space 2} .0012898{col 50}{space 1}   79.63{col 59}{space 3}0.000{col 67}{space 4} .1001766{col 80}{space 3} .1052325
{txt}{space 2}WP_Relative_Age2010_res {c |}{col 27}{res}{space 2} .0000112{col 39}{space 2} .0000418{col 50}{space 1}    0.27{col 59}{space 3}0.788{col 67}{space 4}-.0000707{col 80}{space 3} .0000931
{txt}{space 3}WP_Relative_Income_res {c |}{col 27}{res}{space 2} 1.17e-06{col 39}{space 2} 2.78e-07{col 50}{space 1}    4.21{col 59}{space 3}0.000{col 67}{space 4} 6.24e-07{col 80}{space 3} 1.71e-06
{txt}{space 2}WP_Relative_Married_res {c |}{col 27}{res}{space 2}  .013601{col 39}{space 2} .0012554{col 50}{space 1}   10.83{col 59}{space 3}0.000{col 67}{space 4} .0111405{col 80}{space 3} .0160616
{txt}WP_Relative_NChildren_res {c |}{col 27}{res}{space 2} .0002829{col 39}{space 2} .0005211{col 50}{space 1}    0.54{col 59}{space 3}0.587{col 67}{space 4}-.0007384{col 80}{space 3} .0013043
{txt}{space 1}WP_Relative_Employed_res {c |}{col 27}{res}{space 2} .0097621{col 39}{space 2}  .001501{col 50}{space 1}    6.50{col 59}{space 3}0.000{col 67}{space 4} .0068202{col 80}{space 3} .0127041
{txt}{space 1}diffIndexRel_Age2010_res {c |}{col 27}{res}{space 2}-.0000665{col 39}{space 2} .0000198{col 50}{space 1}   -3.35{col 59}{space 3}0.001{col 67}{space 4}-.0001054{col 80}{space 3}-.0000276
{txt}{space 2}diffIndexRel_Income_res {c |}{col 27}{res}{space 2} 1.68e-06{col 39}{space 2} 1.82e-07{col 50}{space 1}    9.20{col 59}{space 3}0.000{col 67}{space 4} 1.32e-06{col 80}{space 3} 2.04e-06
{txt}{space 1}diffIndexRel_Married_res {c |}{col 27}{res}{space 2} .0114018{col 39}{space 2} .0003881{col 50}{space 1}   29.38{col 59}{space 3}0.000{col 67}{space 4} .0106412{col 80}{space 3} .0121625
{txt}diffIndexRel_NumChild_res {c |}{col 27}{res}{space 2} .0009863{col 39}{space 2} .0001889{col 50}{space 1}    5.22{col 59}{space 3}0.000{col 67}{space 4} .0006161{col 80}{space 3} .0013566
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-.0274036{col 39}{space 2} .0057139{col 50}{space 1}   -4.80{col 59}{space 3}0.000{col 67}{space 4}-.0386026{col 80}{space 3}-.0162046
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}1080.435
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}3747.562
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1043.576
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018_b
Included instruments:{col 23}Voted2018_res Relative_Voted2010_res
{col 23}IndexWorkerVoted2010_res IndexWV2010Miss_res
{col 23}WP_Relative_Age2010_res WP_Relative_Income_res
{col 23}WP_Relative_Married_res WP_Relative_NChildren_res
{col 23}WP_Relative_Employed_res diffIndexRel_Age2010_res
{col 23}diffIndexRel_Income_res diffIndexRel_Married_res
{col 23}diffIndexRel_NumChild_res
Excluded instruments:{col 23}WP_Relative_Voted2010_res
{hline 78}

{com}. 
. 
. mtefe Voted2022_res $x_res (WP_Voted2018_b = WP_Relative_Voted2010_res), vce(cluster WP_HPG_id) poly(2) trim(.02) 
{txt}The following number of observations have been trimmed from the sample:
- 31707 obs. from the tails because of limited support and the trimsupport() option
Continuing without these observations


{res}Parametric polynomial MTE model{col 62}{txt}Obs. : {res} 1,553,629
{txt}Treatment model: Probit
Estimation method: Local IV
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Voted2022_~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}beta0        {txt}{c |}
Voted2018_~s {c |}{col 14}{res}{space 2} .4196799{col 26}{space 2} .0140581{col 37}{space 1}   29.85{col 46}{space 3}0.000{col 54}{space 4} .3921265{col 67}{space 3} .4472333
{txt}Relative_V~s {c |}{col 14}{res}{space 2} .1103401{col 26}{space 2} .0105086{col 37}{space 1}   10.50{col 46}{space 3}0.000{col 54}{space 4} .0897434{col 67}{space 3} .1309367
{txt}IndexWork~es {c |}{col 14}{res}{space 2} .2404336{col 26}{space 2} .0097523{col 37}{space 1}   24.65{col 46}{space 3}0.000{col 54}{space 4} .2213194{col 67}{space 3} .2595479
{txt}IndexWV201~s {c |}{col 14}{res}{space 2} .1902765{col 26}{space 2} .0118225{col 37}{space 1}   16.09{col 46}{space 3}0.000{col 54}{space 4} .1671047{col 67}{space 3} .2134482
{txt}WP~e2010_res {c |}{col 14}{res}{space 2}-.0021116{col 26}{space 2} .0003884{col 37}{space 1}   -5.44{col 46}{space 3}0.000{col 54}{space 4}-.0028729{col 67}{space 3}-.0013503
{txt}WP_Rel~e_res {c |}{col 14}{res}{space 2} 5.81e-06{col 26}{space 2} 3.15e-06{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-3.62e-07{col 67}{space 3}  .000012
{txt}WP_R~ied_res {c |}{col 14}{res}{space 2}-.0005744{col 26}{space 2} .0116655{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.0234384{col 67}{space 3} .0222895
{txt}WP_Rel~n_res {c |}{col 14}{res}{space 2} .0049924{col 26}{space 2} .0049159{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0046427{col 67}{space 3} .0146275
{txt}WP_R~yed_res {c |}{col 14}{res}{space 2} .0082936{col 26}{space 2} .0135839{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0183306{col 67}{space 3} .0349177
{txt}diffIn~0_res {c |}{col 14}{res}{space 2}-.0027946{col 26}{space 2}  .000218{col 37}{space 1}  -12.82{col 46}{space 3}0.000{col 54}{space 4}-.0032219{col 67}{space 3}-.0023673
{txt}diffIn~e_res {c |}{col 14}{res}{space 2} 3.66e-06{col 26}{space 2} 2.35e-06{col 37}{space 1}    1.56{col 46}{space 3}0.119{col 54}{space 4}-9.41e-07{col 67}{space 3} 8.27e-06
{txt}diffI~ed_res {c |}{col 14}{res}{space 2} .0077606{col 26}{space 2} .0044469{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0009552{col 67}{space 3} .0164764
{txt}diffI~ld_res {c |}{col 14}{res}{space 2} .0031955{col 26}{space 2} .0021072{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0009346{col 67}{space 3} .0073255
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0420497{col 26}{space 2} .0169046{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.0751822{col 67}{space 3}-.0089171
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}beta1-beta0  {txt}{c |}
Voted2018_~s {c |}{col 14}{res}{space 2}-.0069853{col 26}{space 2} .0224744{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-.0510346{col 67}{space 3} .0370639
{txt}Relative_V~s {c |}{col 14}{res}{space 2}-.1148592{col 26}{space 2} .0155971{col 37}{space 1}   -7.36{col 46}{space 3}0.000{col 54}{space 4} -.145429{col 67}{space 3}-.0842894
{txt}IndexWork~es {c |}{col 14}{res}{space 2}-.1829899{col 26}{space 2} .0148251{col 37}{space 1}  -12.34{col 46}{space 3}0.000{col 54}{space 4}-.2120467{col 67}{space 3}-.1539332
{txt}IndexWV201~s {c |}{col 14}{res}{space 2}-.1393289{col 26}{space 2} .0179288{col 37}{space 1}   -7.77{col 46}{space 3}0.000{col 54}{space 4}-.1744688{col 67}{space 3} -.104189
{txt}WP~e2010_res {c |}{col 14}{res}{space 2} .0032045{col 26}{space 2} .0005603{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .0021064{col 67}{space 3} .0043026
{txt}WP_Rel~e_res {c |}{col 14}{res}{space 2}-7.02e-06{col 26}{space 2} 4.56e-06{col 37}{space 1}   -1.54{col 46}{space 3}0.124{col 54}{space 4}-.0000159{col 67}{space 3} 1.92e-06
{txt}WP_R~ied_res {c |}{col 14}{res}{space 2} .0200866{col 26}{space 2} .0167694{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4} -.012781{col 67}{space 3} .0529542
{txt}WP_Rel~n_res {c |}{col 14}{res}{space 2}-.0065529{col 26}{space 2} .0071873{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.0206398{col 67}{space 3}  .007534
{txt}WP_R~yed_res {c |}{col 14}{res}{space 2} .0030681{col 26}{space 2} .0197872{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.0357143{col 67}{space 3} .0418504
{txt}diffIn~0_res {c |}{col 14}{res}{space 2} .0040953{col 26}{space 2} .0003189{col 37}{space 1}   12.84{col 46}{space 3}0.000{col 54}{space 4} .0034703{col 67}{space 3} .0047202
{txt}diffIn~e_res {c |}{col 14}{res}{space 2}-3.04e-06{col 26}{space 2} 3.31e-06{col 37}{space 1}   -0.92{col 46}{space 3}0.358{col 54}{space 4}-9.53e-06{col 67}{space 3} 3.45e-06
{txt}diffI~ed_res {c |}{col 14}{res}{space 2} .0052323{col 26}{space 2} .0065043{col 37}{space 1}    0.80{col 46}{space 3}0.421{col 54}{space 4}-.0075159{col 67}{space 3} .0179805
{txt}diffI~ld_res {c |}{col 14}{res}{space 2}-.0032525{col 26}{space 2} .0030746{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.0092786{col 67}{space 3} .0027735
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0750079{col 26}{space 2} .0213761{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} .0331112{col 67}{space 3} .1169045
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}k            {txt}{c |}
{space 10}p1 {c |}{col 14}{res}{space 2}-.8776327{col 26}{space 2} .3107078{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-1.486611{col 67}{space 3}-.2686542
{txt}{space 10}p2 {c |}{col 14}{res}{space 2} .8548761{col 26}{space 2} .2688778{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .3278831{col 67}{space 3} 1.381869
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}effects      {txt}{c |}
{space 9}ate {c |}{col 14}{res}{space 2} .0192906{col 26}{space 2} .0036896{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4}  .012059{col 67}{space 3} .0265222
{txt}{space 9}att {c |}{col 14}{res}{space 2}  .016437{col 26}{space 2} .0037352{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .0091161{col 67}{space 3} .0237579
{txt}{space 8}atut {c |}{col 14}{res}{space 2} .0250549{col 26}{space 2} .0039241{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} .0173637{col 67}{space 3}  .032746
{txt}{space 8}late {c |}{col 14}{res}{space 2} .0236769{col 26}{space 2} .0040527{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4} .0157336{col 67}{space 3} .0316201
{txt}{space 6}mprte1 {c |}{col 14}{res}{space 2} 8.86e-06{col 26}{space 2} 1.37e-06{col 37}{space 1}    6.45{col 46}{space 3}0.000{col 54}{space 4} 6.17e-06{col 67}{space 3} .0000116
{txt}{space 6}mprte2 {c |}{col 14}{res}{space 2} 8.63e-06{col 26}{space 2} 1.34e-06{col 37}{space 1}    6.43{col 46}{space 3}0.000{col 54}{space 4} 6.00e-06{col 67}{space 3} .0000113
{txt}{space 6}mprte3 {c |}{col 14}{res}{space 2} 8.74e-06{col 26}{space 2} 1.36e-06{col 37}{space 1}    6.45{col 46}{space 3}0.000{col 54}{space 4} 6.08e-06{col 67}{space 3} .0000114
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Test of observable heterogeneity, p-value {col 66}       0.0000
Test of essential heterogeneity, p-value {col 66}       0.0004
{hline 78}
Note: Analytical standard errors ignore the facts that the propensity score,
the mean of X and the treatment effect parameter weights are estimated objects
when calculating standard errors. Consider using bootreps() to bootstrap the 
standard errors.
Note: Limited support. Regular, non-marginal treatment effect parameters (ATE, ATT,
ATUT, LATE and PRTE) cannot be estimated. Instead, reported parameters are 
rescaled so that the treatment effect parameters weights sum to 1 within support.



{com}. est store normal
{txt}
{com}. 
. 
. *****************************************************************
. *********** TABLE A10: Attentuation bias  ***********
. ***************************************************************
. 
. 
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. setup_macros_covariates

{txt}group(EduCo {c |}
      llege {c |}
     Female {c |}
      Occ1) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      2,892        0.15        0.15
{txt}          2 {c |}{res}     22,669        1.17        1.32
{txt}          3 {c |}{res}     31,965        1.65        2.97
{txt}          4 {c |}{res}     96,192        4.96        7.93
{txt}          5 {c |}{res}     48,126        2.48       10.42
{txt}          6 {c |}{res}     97,401        5.03       15.44
{txt}          7 {c |}{res}      6,653        0.34       15.79
{txt}          8 {c |}{res}    177,107        9.14       24.93
{txt}          9 {c |}{res}    111,568        5.76       30.69
{txt}         10 {c |}{res}     27,134        1.40       32.09
{txt}         11 {c |}{res}        286        0.01       32.10
{txt}         12 {c |}{res}      7,170        0.37       32.47
{txt}         13 {c |}{res}     23,458        1.21       33.68
{txt}         14 {c |}{res}     46,109        2.38       36.06
{txt}         15 {c |}{res}     67,765        3.50       39.56
{txt}         16 {c |}{res}    264,994       13.68       53.24
{txt}         17 {c |}{res}      2,627        0.14       53.37
{txt}         18 {c |}{res}      7,123        0.37       53.74
{txt}         19 {c |}{res}     16,754        0.86       54.60
{txt}         20 {c |}{res}     29,624        1.53       56.13
{txt}         21 {c |}{res}      1,858        0.10       56.23
{txt}         22 {c |}{res}     41,952        2.17       58.39
{txt}         23 {c |}{res}    186,676        9.63       68.03
{txt}         24 {c |}{res}     73,773        3.81       71.83
{txt}         25 {c |}{res}      8,832        0.46       72.29
{txt}         26 {c |}{res}     12,149        0.63       72.92
{txt}         27 {c |}{res}        360        0.02       72.94
{txt}         28 {c |}{res}      4,676        0.24       73.18
{txt}         29 {c |}{res}      6,932        0.36       73.54
{txt}         30 {c |}{res}      1,274        0.07       73.60
{txt}         31 {c |}{res}        203        0.01       73.61
{txt}         32 {c |}{res}     39,053        2.02       75.63
{txt}         33 {c |}{res}    342,646       17.68       93.31
{txt}         34 {c |}{res}     68,794        3.55       96.86
{txt}         35 {c |}{res}     26,496        1.37       98.23
{txt}         36 {c |}{res}     30,303        1.56       99.79
{txt}         37 {c |}{res}        514        0.03       99.82
{txt}         38 {c |}{res}        703        0.04       99.86
{txt}         39 {c |}{res}      1,508        0.08       99.93
{txt}         40 {c |}{res}      1,295        0.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,937,614      100.00
{txt}(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
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(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
(146,336 missing values generated)
{col 1}WP_HPG_~_1_2{col 15}WP_HPG_~_7_4{col 29}WP_HPG_~14_3{col 43}WP_HPG_~21_2{col 57}WP_HPG_~27_4{col 71}WP_HPG_~34_3
{col 1}WP_HPG_~_1_3{col 15}WP_HPG_~_8_2{col 29}WP_HPG_~14_4{col 43}WP_HPG_~21_3{col 57}WP_HPG_~28_2{col 71}WP_HPG_~34_4
{col 1}WP_HPG_~_1_4{col 15}WP_HPG_~_8_3{col 29}WP_HPG_~15_2{col 43}WP_HPG_~21_4{col 57}WP_HPG_~28_3{col 71}WP_HPG_~35_2
{col 1}WP_HPG_~_2_2{col 15}WP_HPG_~_8_4{col 29}WP_HPG_~15_3{col 43}WP_HPG_~22_2{col 57}WP_HPG_~28_4{col 71}WP_HPG_~35_3
{col 1}WP_HPG_~_2_3{col 15}WP_HPG_~_9_2{col 29}WP_HPG_~15_4{col 43}WP_HPG_~22_3{col 57}WP_HPG_~29_2{col 71}WP_HPG_~35_4
{col 1}WP_HPG_~_2_4{col 15}WP_HPG_~_9_3{col 29}WP_HPG_~16_2{col 43}WP_HPG_~22_4{col 57}WP_HPG_~29_3{col 71}WP_HPG_~36_2
{col 1}WP_HPG_~_3_2{col 15}WP_HPG_~_9_4{col 29}WP_HPG_~16_3{col 43}WP_HPG_~23_2{col 57}WP_HPG_~29_4{col 71}WP_HPG_~36_3
{col 1}WP_HPG_~_3_3{col 15}WP_HPG_~10_2{col 29}WP_HPG_~16_4{col 43}WP_HPG_~23_3{col 57}WP_HPG_~30_2{col 71}WP_HPG_~36_4
{col 1}WP_HPG_~_3_4{col 15}WP_HPG_~10_3{col 29}WP_HPG_~17_2{col 43}WP_HPG_~23_4{col 57}WP_HPG_~30_3{col 71}WP_HPG_~37_2
{col 1}WP_HPG_~_4_2{col 15}WP_HPG_~10_4{col 29}WP_HPG_~17_3{col 43}WP_HPG_~24_2{col 57}WP_HPG_~30_4{col 71}WP_HPG_~37_3
{col 1}WP_HPG_~_4_3{col 15}WP_HPG_~11_2{col 29}WP_HPG_~17_4{col 43}WP_HPG_~24_3{col 57}WP_HPG_~31_2{col 71}WP_HPG_~37_4
{col 1}WP_HPG_~_4_4{col 15}WP_HPG_~11_3{col 29}WP_HPG_~18_2{col 43}WP_HPG_~24_4{col 57}WP_HPG_~31_3{col 71}WP_HPG_~38_2
{col 1}WP_HPG_~_5_2{col 15}WP_HPG_~11_4{col 29}WP_HPG_~18_3{col 43}WP_HPG_~25_2{col 57}WP_HPG_~31_4{col 71}WP_HPG_~38_3
{col 1}WP_HPG_~_5_3{col 15}WP_HPG_~12_2{col 29}WP_HPG_~18_4{col 43}WP_HPG_~25_3{col 57}WP_HPG_~32_2{col 71}WP_HPG_~38_4
{col 1}WP_HPG_~_5_4{col 15}WP_HPG_~12_3{col 29}WP_HPG_~19_2{col 43}WP_HPG_~25_4{col 57}WP_HPG_~32_3{col 71}WP_HPG_~39_2
{col 1}WP_HPG_~_6_2{col 15}WP_HPG_~12_4{col 29}WP_HPG_~19_3{col 43}WP_HPG_~26_2{col 57}WP_HPG_~32_4{col 71}WP_HPG_~39_3
{col 1}WP_HPG_~_6_3{col 15}WP_HPG_~13_2{col 29}WP_HPG_~19_4{col 43}WP_HPG_~26_3{col 57}WP_HPG_~33_2{col 71}WP_HPG_~39_4
{col 1}WP_HPG_~_6_4{col 15}WP_HPG_~13_3{col 29}WP_HPG_~20_2{col 43}WP_HPG_~26_4{col 57}WP_HPG_~33_3{col 71}WP_HPG_~40_2
{col 1}WP_HPG_~_7_2{col 15}WP_HPG_~13_4{col 29}WP_HPG_~20_3{col 43}WP_HPG_~27_2{col 57}WP_HPG_~33_4{col 71}WP_HPG_~40_3
{col 1}WP_HPG_~_7_3{col 15}WP_HPG_~14_2{col 29}WP_HPG_~20_4{col 43}WP_HPG_~27_3{col 57}WP_HPG_~34_2{col 71}WP_HPG_~40_4

{com}. 
. tab WP_NumWorkers $insample, miss

{txt}WP_NumWorke {c |}
         rs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          2 {c |}{res}    230,948       14.57       14.57
{txt}          3 {c |}{res}    165,540       10.44       25.01
{txt}          4 {c |}{res}    127,936        8.07       33.08
{txt}          5 {c |}{res}    104,530        6.59       39.67
{txt}          6 {c |}{res}     86,544        5.46       45.13
{txt}          7 {c |}{res}     72,149        4.55       49.68
{txt}          8 {c |}{res}     61,032        3.85       53.53
{txt}          9 {c |}{res}     53,811        3.39       56.93
{txt}         10 {c |}{res}     47,580        3.00       59.93
{txt}         11 {c |}{res}     42,911        2.71       62.64
{txt}         12 {c |}{res}     39,312        2.48       65.12
{txt}         13 {c |}{res}     34,411        2.17       67.29
{txt}         14 {c |}{res}     32,536        2.05       69.34
{txt}         15 {c |}{res}     28,365        1.79       71.13
{txt}         16 {c |}{res}     27,280        1.72       72.85
{txt}         17 {c |}{res}     25,670        1.62       74.47
{txt}         18 {c |}{res}     25,398        1.60       76.07
{txt}         19 {c |}{res}     22,116        1.40       77.46
{txt}         20 {c |}{res}     21,160        1.33       78.80
{txt}         21 {c |}{res}     21,042        1.33       80.13
{txt}         22 {c |}{res}     19,734        1.24       81.37
{txt}         23 {c |}{res}     18,009        1.14       82.51
{txt}         24 {c |}{res}     17,280        1.09       83.60
{txt}         25 {c |}{res}     15,500        0.98       84.57
{txt}         26 {c |}{res}     16,822        1.06       85.64
{txt}         27 {c |}{res}     14,445        0.91       86.55
{txt}         28 {c |}{res}     14,924        0.94       87.49
{txt}         29 {c |}{res}     12,093        0.76       88.25
{txt}         30 {c |}{res}     12,870        0.81       89.06
{txt}         31 {c |}{res}     13,423        0.85       89.91
{txt}         32 {c |}{res}     12,800        0.81       90.72
{txt}         33 {c |}{res}     10,956        0.69       91.41
{txt}         34 {c |}{res}      9,928        0.63       92.03
{txt}         35 {c |}{res}     10,395        0.66       92.69
{txt}         36 {c |}{res}     10,368        0.65       93.34
{txt}         37 {c |}{res}     10,360        0.65       94.00
{txt}         38 {c |}{res}      9,272        0.58       94.58
{txt}         39 {c |}{res}      8,892        0.56       95.14
{txt}         40 {c |}{res}      8,760        0.55       95.70
{txt}         41 {c |}{res}      7,216        0.46       96.15
{txt}         42 {c |}{res}      8,400        0.53       96.68
{txt}         43 {c |}{res}      7,095        0.45       97.13
{txt}         44 {c |}{res}      7,744        0.49       97.62
{txt}         45 {c |}{res}      6,975        0.44       98.06
{txt}         46 {c |}{res}      7,544        0.48       98.53
{txt}         47 {c |}{res}      6,063        0.38       98.92
{txt}         48 {c |}{res}      5,664        0.36       99.27
{txt}         49 {c |}{res}      5,733        0.36       99.63
{txt}         50 {c |}{res}      5,800        0.37      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}  1,585,336      100.00
{txt}
{com}. gen LargeWP =  WP_NumWorkers > 7
{txt}
{com}. gen SmallWP = WP_NumWorkers <= 7
{txt}
{com}. gen WP_Voted2018_LargeWP = WP_Voted2018 * LargeWP
{txt}
{com}. gen WP_Voted2018_SmallWP = WP_Voted2018 * SmallWP
{txt}
{com}. gen WP_Relative_Voted2010_LargeWP = WP_Relative_Voted2010 * LargeWP
{txt}
{com}. gen WP_Relative_Voted2010_SmallWP = WP_Relative_Voted2010 * SmallWP
{txt}
{com}. 
. ***  ***
. 
. * OLS
. reghdfe Voted2022 WP_Voted2018_LargeWP WP_Voted2018_SmallWP LargeWP $OLS_main_controls $insample, cluster(WP_HPG_id) absorb($FE)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res} 1,585,336
{txt}Absorbing 1 HDFE group{col 51}F({res}  94{txt},{res} 298639{txt}){col 67}= {res}   1270.67
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2416
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2387
{txt}{col 51}Within R-sq.{col 67}= {res}    0.2272
{txt}{col 1}Number of clusters ({res}WP_HPG_id{txt}) {col 30}= {res}   298,640{txt}{col 51}Root MSE{col 67}= {res}    0.2205

{txt}{ralign 91:(Std. err. adjusted for {res:298,640} clusters in {res:WP_HPG_id})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}WP_Voted2018_LargeWP {c |}{col 27}{res}{space 2}   .07401{col 39}{space 2} .0047209{col 50}{space 1}   15.68{col 59}{space 3}0.000{col 67}{space 4} .0647572{col 80}{space 3} .0832628
{txt}{space 5}WP_Voted2018_SmallWP {c |}{col 27}{res}{space 2} .0217914{col 39}{space 2} .0018738{col 50}{space 1}   11.63{col 59}{space 3}0.000{col 67}{space 4} .0181188{col 80}{space 3}  .025464
{txt}{space 18}LargeWP {c |}{col 27}{res}{space 2}-.0497688{col 39}{space 2}  .004782{col 50}{space 1}  -10.41{col 59}{space 3}0.000{col 67}{space 4}-.0591414{col 80}{space 3}-.0403963
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1247731{col 39}{space 2} .0010687{col 50}{space 1}  116.75{col 59}{space 3}0.000{col 67}{space 4} .1226785{col 80}{space 3} .1268677
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1043418{col 39}{space 2} .0012891{col 50}{space 1}   80.94{col 59}{space 3}0.000{col 67}{space 4} .1018152{col 80}{space 3} .1068684
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
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{txt}{space 23}6  {c |}{col 27}{res}{space 2} .2000321{col 39}{space 2} .1107015{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0169398{col 80}{space 3}  .417004
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1639202{col 39}{space 2} .1116497{col 50}{space 1}    1.47{col 59}{space 3}0.142{col 67}{space 4}-.0549102{col 80}{space 3} .3827505
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2085521{col 39}{space 2} .1106738{col 50}{space 1}    1.88{col 59}{space 3}0.060{col 67}{space 4}-.0083654{col 80}{space 3} .4254696
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{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2197044{col 39}{space 2} .1106827{col 50}{space 1}    1.98{col 59}{space 3}0.047{col 67}{space 4} .0027695{col 80}{space 3} .4366393
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{txt}{space 22}19  {c |}{col 27}{res}{space 2}  .202647{col 39}{space 2} .1113336{col 50}{space 1}    1.82{col 59}{space 3}0.069{col 67}{space 4}-.0155638{col 80}{space 3} .4208577
{txt}{space 22}20  {c |}{col 27}{res}{space 2} .1837296{col 39}{space 2} .1109365{col 50}{space 1}    1.66{col 59}{space 3}0.098{col 67}{space 4}-.0337028{col 80}{space 3}  .401162
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{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2295723{col 39}{space 2} .1106068{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4}  .012786{col 80}{space 3} .4463586
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{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2231248{col 39}{space 2} .1106452{col 50}{space 1}    2.02{col 59}{space 3}0.044{col 67}{space 4} .0062634{col 80}{space 3} .4399862
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2159249{col 39}{space 2} .1106381{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0009227{col 80}{space 3} .4327726
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2113015{col 39}{space 2} .1108506{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0059625{col 80}{space 3} .4285655
{txt}{space 22}31  {c |}{col 27}{res}{space 2}  .239474{col 39}{space 2} .1111878{col 50}{space 1}    2.15{col 59}{space 3}0.031{col 67}{space 4} .0215491{col 80}{space 3}  .457399
{txt}{space 22}32  {c |}{col 27}{res}{space 2} .2293517{col 39}{space 2} .1106091{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4}  .012561{col 80}{space 3} .4461424
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2323332{col 39}{space 2}  .110606{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0155486{col 80}{space 3} .4491178
{txt}{space 22}34  {c |}{col 27}{res}{space 2} .2347515{col 39}{space 2} .1106074{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0179641{col 80}{space 3}  .451539
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2342676{col 39}{space 2} .1106096{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0174758{col 80}{space 3} .4510594
{txt}{space 22}36  {c |}{col 27}{res}{space 2} .2294677{col 39}{space 2} .1106104{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0126744{col 80}{space 3} .4462611
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2347295{col 39}{space 2} .1109353{col 50}{space 1}    2.12{col 59}{space 3}0.034{col 67}{space 4} .0172993{col 80}{space 3} .4521596
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2342206{col 39}{space 2} .1108169{col 50}{space 1}    2.11{col 59}{space 3}0.035{col 67}{space 4} .0170225{col 80}{space 3} .4514186
{txt}{space 22}39  {c |}{col 27}{res}{space 2} .2263123{col 39}{space 2} .1107295{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0092856{col 80}{space 3} .4433389
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2329911{col 39}{space 2} .1107652{col 50}{space 1}    2.10{col 59}{space 3}0.035{col 67}{space 4} .0158944{col 80}{space 3} .4500879
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3171253{col 39}{space 2} .1359191{col 50}{space 1}    2.33{col 59}{space 3}0.020{col 67}{space 4} .0507276{col 80}{space 3} .5835229
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.355607{col 39}{space 2} 1.360117{col 50}{space 1}   -1.73{col 59}{space 3}0.083{col 67}{space 4}-5.021398{col 80}{space 3} .3101836
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0021744{col 39}{space 2} .0056796{col 50}{space 1}   -0.38{col 59}{space 3}0.702{col 67}{space 4}-.0133062{col 80}{space 3} .0089574
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0032054{col 39}{space 2} .0349009{col 50}{space 1}   -0.09{col 59}{space 3}0.927{col 67}{space 4}-.0716103{col 80}{space 3} .0651995
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0018435{col 39}{space 2} .0071866{col 50}{space 1}   -0.26{col 59}{space 3}0.798{col 67}{space 4} -.015929{col 80}{space 3}  .012242
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0825129{col 39}{space 2}  .046878{col 50}{space 1}   -1.76{col 59}{space 3}0.078{col 67}{space 4}-.1743925{col 80}{space 3} .0093667
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0025608{col 39}{space 2} .0048446{col 50}{space 1}    0.53{col 59}{space 3}0.597{col 67}{space 4}-.0069344{col 80}{space 3}  .012056
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0165208{col 39}{space 2} .0259323{col 50}{space 1}    0.64{col 59}{space 3}0.524{col 67}{space 4}-.0343058{col 80}{space 3} .0673474
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0122786{col 39}{space 2} .0098771{col 50}{space 1}    1.24{col 59}{space 3}0.214{col 67}{space 4}-.0070802{col 80}{space 3} .0316374
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0360341{col 39}{space 2} .0443995{col 50}{space 1}    0.81{col 59}{space 3}0.417{col 67}{space 4}-.0509876{col 80}{space 3} .1230559
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0034444{col 39}{space 2} .0062551{col 50}{space 1}   -0.55{col 59}{space 3}0.582{col 67}{space 4}-.0157042{col 80}{space 3} .0088155
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0933581{col 39}{space 2} .0325109{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-.1570786{col 80}{space 3}-.0296376
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2}  .034502{col 39}{space 2} .0205681{col 50}{space 1}    1.68{col 59}{space 3}0.093{col 67}{space 4}-.0058109{col 80}{space 3} .0748149
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1675143{col 39}{space 2} .1426313{col 50}{space 1}   -1.17{col 59}{space 3}0.240{col 67}{space 4}-.4470677{col 80}{space 3}  .112039
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}  .000665{col 39}{space 2} .0054023{col 50}{space 1}    0.12{col 59}{space 3}0.902{col 67}{space 4}-.0099234{col 80}{space 3} .0112533
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2} -.037416{col 39}{space 2} .0303418{col 50}{space 1}   -1.23{col 59}{space 3}0.218{col 67}{space 4}-.0968852{col 80}{space 3} .0220531
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2} .0025354{col 39}{space 2} .0075297{col 50}{space 1}    0.34{col 59}{space 3}0.736{col 67}{space 4}-.0122226{col 80}{space 3} .0172933
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0174759{col 39}{space 2} .0407987{col 50}{space 1}   -0.43{col 59}{space 3}0.668{col 67}{space 4}-.0974402{col 80}{space 3} .0624885
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}  .000747{col 39}{space 2} .0145007{col 50}{space 1}    0.05{col 59}{space 3}0.959{col 67}{space 4} -.027674{col 80}{space 3}  .029168
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0330481{col 39}{space 2} .0866091{col 50}{space 1}   -0.38{col 59}{space 3}0.703{col 67}{space 4}-.2027996{col 80}{space 3} .1367033
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1281827{col 39}{space 2} .1273587{col 50}{space 1}   -1.01{col 59}{space 3}0.314{col 67}{space 4}-.3778023{col 80}{space 3} .1214369
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0477751{col 39}{space 2} .2227616{col 50}{space 1}    0.21{col 59}{space 3}0.830{col 67}{space 4}-.3888315{col 80}{space 3} .4843816
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2}-.0005341{col 39}{space 2} .0099164{col 50}{space 1}   -0.05{col 59}{space 3}0.957{col 67}{space 4}  -.01997{col 80}{space 3} .0189018
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0200712{col 39}{space 2} .1178548{col 50}{space 1}   -0.17{col 59}{space 3}0.865{col 67}{space 4}-.2510633{col 80}{space 3} .2109209
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0076781{col 39}{space 2} .0080082{col 50}{space 1}   -0.96{col 59}{space 3}0.338{col 67}{space 4}-.0233739{col 80}{space 3} .0080177
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0337859{col 39}{space 2} .0306116{col 50}{space 1}    1.10{col 59}{space 3}0.270{col 67}{space 4} -.026212{col 80}{space 3} .0937838
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0034181{col 39}{space 2} .0057701{col 50}{space 1}   -0.59{col 59}{space 3}0.554{col 67}{space 4}-.0147274{col 80}{space 3} .0078911
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0035533{col 39}{space 2} .0371005{col 50}{space 1}   -0.10{col 59}{space 3}0.924{col 67}{space 4}-.0762692{col 80}{space 3} .0691625
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0041506{col 39}{space 2} .0053609{col 50}{space 1}    0.77{col 59}{space 3}0.439{col 67}{space 4}-.0063566{col 80}{space 3} .0146578
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0055579{col 39}{space 2} .0309678{col 50}{space 1}    0.18{col 59}{space 3}0.858{col 67}{space 4}-.0551381{col 80}{space 3} .0662538
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2}  .006742{col 39}{space 2} .0042659{col 50}{space 1}    1.58{col 59}{space 3}0.114{col 67}{space 4} -.001619{col 80}{space 3} .0151029
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0183734{col 39}{space 2} .0232147{col 50}{space 1}    0.79{col 59}{space 3}0.429{col 67}{space 4}-.0271268{col 80}{space 3} .0638736
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2} .0015074{col 39}{space 2} .0309142{col 50}{space 1}    0.05{col 59}{space 3}0.961{col 67}{space 4}-.0590836{col 80}{space 3} .0620984
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1402872{col 39}{space 2} .0619733{col 50}{space 1}    2.26{col 59}{space 3}0.024{col 67}{space 4} .0188212{col 80}{space 3} .2617532
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0127913{col 39}{space 2} .0200157{col 50}{space 1}    0.64{col 59}{space 3}0.523{col 67}{space 4}-.0264389{col 80}{space 3} .0520214
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1056584{col 39}{space 2} .0898816{col 50}{space 1}    1.18{col 59}{space 3}0.240{col 67}{space 4}-.0705071{col 80}{space 3} .2818239
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2}  .015143{col 39}{space 2} .0169991{col 50}{space 1}    0.89{col 59}{space 3}0.373{col 67}{space 4}-.0181747{col 80}{space 3} .0484607
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0505502{col 39}{space 2} .1011386{col 50}{space 1}   -0.50{col 59}{space 3}0.617{col 67}{space 4} -.248779{col 80}{space 3} .1476787
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0170488{col 39}{space 2}  .011186{col 50}{space 1}    1.52{col 59}{space 3}0.127{col 67}{space 4}-.0048756{col 80}{space 3} .0389731
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0167893{col 39}{space 2} .0570533{col 50}{space 1}   -0.29{col 59}{space 3}0.769{col 67}{space 4}-.1286122{col 80}{space 3} .0950336
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2} .0000371{col 39}{space 2} .0000407{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.0000427{col 80}{space 3} .0001168
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 8.72e-07{col 39}{space 2} 2.76e-07{col 50}{space 1}    3.16{col 59}{space 3}0.002{col 67}{space 4} 3.31e-07{col 80}{space 3} 1.41e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0148873{col 39}{space 2} .0011902{col 50}{space 1}   12.51{col 59}{space 3}0.000{col 67}{space 4} .0125544{col 80}{space 3} .0172201
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0001499{col 39}{space 2} .0005135{col 50}{space 1}    0.29{col 59}{space 3}0.770{col 67}{space 4}-.0008566{col 80}{space 3} .0011564
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0127554{col 39}{space 2} .0014843{col 50}{space 1}    8.59{col 59}{space 3}0.000{col 67}{space 4} .0098462{col 80}{space 3} .0156646
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000662{col 39}{space 2} .0000197{col 50}{space 1}   -3.36{col 59}{space 3}0.001{col 67}{space 4}-.0001048{col 80}{space 3}-.0000276
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.66e-06{col 39}{space 2} 1.78e-07{col 50}{space 1}    9.30{col 59}{space 3}0.000{col 67}{space 4} 1.31e-06{col 80}{space 3} 2.01e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0117333{col 39}{space 2} .0003786{col 50}{space 1}   31.00{col 59}{space 3}0.000{col 67}{space 4} .0109913{col 80}{space 3} .0124752
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010544{col 39}{space 2} .0001879{col 50}{space 1}    5.61{col 59}{space 3}0.000{col 67}{space 4} .0006862{col 80}{space 3} .0014226
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2}   .41885{col 39}{space 2} .0016806{col 50}{space 1}  249.23{col 59}{space 3}0.000{col 67}{space 4} .4155561{col 80}{space 3}  .422144
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .1670737{col 39}{space 2} .1106342{col 50}{space 1}    1.51{col 59}{space 3}0.131{col 67}{space 4}-.0497661{col 80}{space 3} .3839135
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. * 2SLS with individual IV
. ivreghdfe Voted2022  $main_controls  LargeWP  (WP_Voted2018_LargeWP WP_Voted2018_SmallWP = WP_Relative_Voted2010_SmallWP WP_Relative_Voted2010_LargeWP) $insample, cluster(WP_HPG_id) absorb($FE) 
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on WP_HPG_id

Number of clusters (WP_HPG_id) = {col 33}{res}298640{txt}{col 55}Number of obs = {res} 1585336
{txt}{col 55}F( 95,298639) = {res} 1272.08
{txt}{col 55}Prob > F      = {res}  0.0000
{txt}Total (centered) SS     = {res} 99325.29337{txt}{col 55}Centered R2   = {res}  0.2274
{txt}Total (uncentered) SS   = {res} 99325.29337{txt}{col 55}Uncentered R2 = {res}  0.2274
{txt}Residual SS             = {res} 76742.69406{txt}{col 55}Root MSE      = {res}   .2204

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                Voted2022{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}WP_Voted2018_LargeWP {c |}{col 27}{res}{space 2} .1376251{col 39}{space 2} .0180768{col 50}{space 1}    7.61{col 59}{space 3}0.000{col 67}{space 4} .1021952{col 80}{space 3} .1730551
{txt}{space 5}WP_Voted2018_SmallWP {c |}{col 27}{res}{space 2}  .068965{col 39}{space 2} .0169634{col 50}{space 1}    4.07{col 59}{space 3}0.000{col 67}{space 4} .0357173{col 80}{space 3} .1022127
{txt}{space 7}Relative_Voted2010 {c |}{col 27}{res}{space 2} .0353512{col 39}{space 2} .0010746{col 50}{space 1}   32.90{col 59}{space 3}0.000{col 67}{space 4} .0332451{col 80}{space 3} .0374573
{txt}{space 5}IndexWorkerVoted2010 {c |}{col 27}{res}{space 2} .1224219{col 39}{space 2} .0010746{col 50}{space 1}  113.92{col 59}{space 3}0.000{col 67}{space 4} .1203156{col 80}{space 3} .1245282
{txt}{space 1}IndexWorkerVoted2010Miss {c |}{col 27}{res}{space 2} .1025772{col 39}{space 2}   .00129{col 50}{space 1}   79.52{col 59}{space 3}0.000{col 67}{space 4} .1000488{col 80}{space 3} .1051055
{txt}{space 25} {c |}
{space 14}WP_HPG_type {c |}
{space 23}1  {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (empty)
{space 23}2  {c |}{col 27}{res}{space 2} .2192632{col 39}{space 2} .1082002{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0071938{col 80}{space 3} .4313326
{txt}{space 23}3  {c |}{col 27}{res}{space 2} .2154686{col 39}{space 2} .1082496{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0033023{col 80}{space 3} .4276348
{txt}{space 23}4  {c |}{col 27}{res}{space 2} .2111414{col 39}{space 2} .1081669{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0008626{col 80}{space 3} .4231454
{txt}{space 23}5  {c |}{col 27}{res}{space 2} .1859358{col 39}{space 2} .1083446{col 50}{space 1}    1.72{col 59}{space 3}0.086{col 67}{space 4}-.0264166{col 80}{space 3} .3982881
{txt}{space 23}6  {c |}{col 27}{res}{space 2} .1977771{col 39}{space 2} .1082005{col 50}{space 1}    1.83{col 59}{space 3}0.068{col 67}{space 4}-.0142929{col 80}{space 3} .4098471
{txt}{space 23}7  {c |}{col 27}{res}{space 2} .1631234{col 39}{space 2} .1091622{col 50}{space 1}    1.49{col 59}{space 3}0.135{col 67}{space 4}-.0508314{col 80}{space 3} .3770782
{txt}{space 23}8  {c |}{col 27}{res}{space 2} .2058323{col 39}{space 2} .1081703{col 50}{space 1}    1.90{col 59}{space 3}0.057{col 67}{space 4}-.0061784{col 80}{space 3}  .417843
{txt}{space 23}9  {c |}{col 27}{res}{space 2} .2055886{col 39}{space 2} .1082352{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}-.0065494{col 80}{space 3} .4177266
{txt}{space 22}10  {c |}{col 27}{res}{space 2} .1752702{col 39}{space 2} .1086296{col 50}{space 1}    1.61{col 59}{space 3}0.107{col 67}{space 4}-.0376408{col 80}{space 3} .3881812
{txt}{space 22}11  {c |}{col 27}{res}{space 2} .3706752{col 39}{space 2} .1537016{col 50}{space 1}    2.41{col 59}{space 3}0.016{col 67}{space 4} .0694243{col 80}{space 3}  .671926
{txt}{space 22}12  {c |}{col 27}{res}{space 2} .2179544{col 39}{space 2}  .108385{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0055229{col 80}{space 3} .4303859
{txt}{space 22}13  {c |}{col 27}{res}{space 2} .2233601{col 39}{space 2} .1082941{col 50}{space 1}    2.06{col 59}{space 3}0.039{col 67}{space 4} .0111067{col 80}{space 3} .4356135
{txt}{space 22}14  {c |}{col 27}{res}{space 2} .2192732{col 39}{space 2} .1082039{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0071966{col 80}{space 3} .4313497
{txt}{space 22}15  {c |}{col 27}{res}{space 2} .2117498{col 39}{space 2}  .108186{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4}-.0002917{col 80}{space 3} .4237914
{txt}{space 22}16  {c |}{col 27}{res}{space 2} .1999975{col 39}{space 2} .1081454{col 50}{space 1}    1.85{col 59}{space 3}0.064{col 67}{space 4}-.0119645{col 80}{space 3} .4119594
{txt}{space 22}17  {c |}{col 27}{res}{space 2} .2023494{col 39}{space 2}  .110818{col 50}{space 1}    1.83{col 59}{space 3}0.068{col 67}{space 4}-.0148508{col 80}{space 3} .4195496
{txt}{space 22}18  {c |}{col 27}{res}{space 2} .1937191{col 39}{space 2} .1091812{col 50}{space 1}    1.77{col 59}{space 3}0.076{col 67}{space 4} -.020273{col 80}{space 3} .4077111
{txt}{space 22}19  {c |}{col 27}{res}{space 2} .1959554{col 39}{space 2} .1088486{col 50}{space 1}    1.80{col 59}{space 3}0.072{col 67}{space 4}-.0173848{col 80}{space 3} .4092956
{txt}{space 22}20  {c |}{col 27}{res}{space 2}  .182034{col 39}{space 2}  .108439{col 50}{space 1}    1.68{col 59}{space 3}0.093{col 67}{space 4}-.0305033{col 80}{space 3} .3945713
{txt}{space 22}21  {c |}{col 27}{res}{space 2} .2136365{col 39}{space 2} .1087867{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0004177{col 80}{space 3} .4268553
{txt}{space 22}22  {c |}{col 27}{res}{space 2} .2130071{col 39}{space 2} .1081213{col 50}{space 1}    1.97{col 59}{space 3}0.049{col 67}{space 4} .0010924{col 80}{space 3} .4249218
{txt}{space 22}23  {c |}{col 27}{res}{space 2} .2170577{col 39}{space 2} .1081175{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0051504{col 80}{space 3} .4289651
{txt}{space 22}24  {c |}{col 27}{res}{space 2} .2183116{col 39}{space 2} .1081168{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0064057{col 80}{space 3} .4302176
{txt}{space 22}25  {c |}{col 27}{res}{space 2} .2154511{col 39}{space 2} .1081311{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0035173{col 80}{space 3} .4273849
{txt}{space 22}26  {c |}{col 27}{res}{space 2} .2152817{col 39}{space 2} .1081269{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0033559{col 80}{space 3} .4272075
{txt}{space 22}27  {c |}{col 27}{res}{space 2} .2051823{col 39}{space 2} .1087111{col 50}{space 1}    1.89{col 59}{space 3}0.059{col 67}{space 4}-.0078884{col 80}{space 3}  .418253
{txt}{space 22}28  {c |}{col 27}{res}{space 2} .2124135{col 39}{space 2}  .108149{col 50}{space 1}    1.96{col 59}{space 3}0.050{col 67}{space 4} .0004445{col 80}{space 3} .4243825
{txt}{space 22}29  {c |}{col 27}{res}{space 2} .2051654{col 39}{space 2} .1081421{col 50}{space 1}    1.90{col 59}{space 3}0.058{col 67}{space 4}  -.00679{col 80}{space 3} .4171208
{txt}{space 22}30  {c |}{col 27}{res}{space 2} .2014273{col 39}{space 2} .1083522{col 50}{space 1}    1.86{col 59}{space 3}0.063{col 67}{space 4}-.0109401{col 80}{space 3} .4137946
{txt}{space 22}31  {c |}{col 27}{res}{space 2} .2269149{col 39}{space 2} .1087529{col 50}{space 1}    2.09{col 59}{space 3}0.037{col 67}{space 4} .0137623{col 80}{space 3} .4400675
{txt}{space 22}32  {c |}{col 27}{res}{space 2}  .216505{col 39}{space 2} .1081208{col 50}{space 1}    2.00{col 59}{space 3}0.045{col 67}{space 4} .0045913{col 80}{space 3} .4284186
{txt}{space 22}33  {c |}{col 27}{res}{space 2} .2191311{col 39}{space 2} .1081199{col 50}{space 1}    2.03{col 59}{space 3}0.043{col 67}{space 4} .0072191{col 80}{space 3} .4310431
{txt}{space 22}34  {c |}{col 27}{res}{space 2}  .221803{col 39}{space 2} .1081196{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0098916{col 80}{space 3} .4337144
{txt}{space 22}35  {c |}{col 27}{res}{space 2} .2217313{col 39}{space 2} .1081196{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4} .0098199{col 80}{space 3} .4336428
{txt}{space 22}36  {c |}{col 27}{res}{space 2}  .217397{col 39}{space 2} .1081174{col 50}{space 1}    2.01{col 59}{space 3}0.044{col 67}{space 4} .0054899{col 80}{space 3}  .429304
{txt}{space 22}37  {c |}{col 27}{res}{space 2} .2226834{col 39}{space 2} .1084604{col 50}{space 1}    2.05{col 59}{space 3}0.040{col 67}{space 4}  .010104{col 80}{space 3} .4352628
{txt}{space 22}38  {c |}{col 27}{res}{space 2} .2208701{col 39}{space 2} .1083367{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0085332{col 80}{space 3} .4332071
{txt}{space 22}39  {c |}{col 27}{res}{space 2}  .214189{col 39}{space 2} .1082407{col 50}{space 1}    1.98{col 59}{space 3}0.048{col 67}{space 4} .0020402{col 80}{space 3} .4263377
{txt}{space 22}40  {c |}{col 27}{res}{space 2} .2212086{col 39}{space 2} .1082741{col 50}{space 1}    2.04{col 59}{space 3}0.041{col 67}{space 4} .0089944{col 80}{space 3} .4334229
{txt}{space 25} {c |}
{space 11}WP_HPG_Edu_1_2 {c |}{col 27}{res}{space 2} .3084529{col 39}{space 2} .1331118{col 50}{space 1}    2.32{col 59}{space 3}0.020{col 67}{space 4} .0475575{col 80}{space 3} .5693483
{txt}{space 11}WP_HPG_Edu_1_4 {c |}{col 27}{res}{space 2}-2.444153{col 39}{space 2} 1.341081{col 50}{space 1}   -1.82{col 59}{space 3}0.068{col 67}{space 4}-5.072635{col 80}{space 3} .1843286
{txt}{space 11}WP_HPG_Edu_2_2 {c |}{col 27}{res}{space 2}-.0027833{col 39}{space 2} .0057014{col 50}{space 1}   -0.49{col 59}{space 3}0.625{col 67}{space 4}-.0139579{col 80}{space 3} .0083913
{txt}{space 11}WP_HPG_Edu_2_4 {c |}{col 27}{res}{space 2}-.0032629{col 39}{space 2} .0353542{col 50}{space 1}   -0.09{col 59}{space 3}0.926{col 67}{space 4}-.0725562{col 80}{space 3} .0660303
{txt}{space 11}WP_HPG_Edu_3_2 {c |}{col 27}{res}{space 2}-.0022999{col 39}{space 2} .0071983{col 50}{space 1}   -0.32{col 59}{space 3}0.749{col 67}{space 4}-.0164084{col 80}{space 3} .0118086
{txt}{space 11}WP_HPG_Edu_3_4 {c |}{col 27}{res}{space 2}-.0846357{col 39}{space 2}  .047017{col 50}{space 1}   -1.80{col 59}{space 3}0.072{col 67}{space 4}-.1767876{col 80}{space 3} .0075162
{txt}{space 11}WP_HPG_Edu_4_2 {c |}{col 27}{res}{space 2} .0019821{col 39}{space 2} .0048513{col 50}{space 1}    0.41{col 59}{space 3}0.683{col 67}{space 4}-.0075264{col 80}{space 3} .0114905
{txt}{space 11}WP_HPG_Edu_4_4 {c |}{col 27}{res}{space 2} .0170839{col 39}{space 2} .0259009{col 50}{space 1}    0.66{col 59}{space 3}0.510{col 67}{space 4}-.0336811{col 80}{space 3} .0678489
{txt}{space 11}WP_HPG_Edu_5_2 {c |}{col 27}{res}{space 2} .0107137{col 39}{space 2} .0098886{col 50}{space 1}    1.08{col 59}{space 3}0.279{col 67}{space 4}-.0086677{col 80}{space 3} .0300951
{txt}{space 11}WP_HPG_Edu_5_4 {c |}{col 27}{res}{space 2} .0422077{col 39}{space 2} .0439394{col 50}{space 1}    0.96{col 59}{space 3}0.337{col 67}{space 4}-.0439122{col 80}{space 3} .1283277
{txt}{space 11}WP_HPG_Edu_6_2 {c |}{col 27}{res}{space 2}-.0060755{col 39}{space 2} .0063108{col 50}{space 1}   -0.96{col 59}{space 3}0.336{col 67}{space 4}-.0184445{col 80}{space 3} .0062935
{txt}{space 11}WP_HPG_Edu_6_4 {c |}{col 27}{res}{space 2}-.0922504{col 39}{space 2} .0325149{col 50}{space 1}   -2.84{col 59}{space 3}0.005{col 67}{space 4}-.1559788{col 80}{space 3}-.0285221
{txt}{space 11}WP_HPG_Edu_7_2 {c |}{col 27}{res}{space 2} .0318093{col 39}{space 2} .0205441{col 50}{space 1}    1.55{col 59}{space 3}0.122{col 67}{space 4}-.0084566{col 80}{space 3} .0720751
{txt}{space 11}WP_HPG_Edu_7_4 {c |}{col 27}{res}{space 2}-.1712131{col 39}{space 2} .1437095{col 50}{space 1}   -1.19{col 59}{space 3}0.234{col 67}{space 4}-.4528797{col 80}{space 3} .1104535
{txt}{space 11}WP_HPG_Edu_8_2 {c |}{col 27}{res}{space 2}-.0012156{col 39}{space 2} .0054388{col 50}{space 1}   -0.22{col 59}{space 3}0.823{col 67}{space 4}-.0118754{col 80}{space 3} .0094443
{txt}{space 11}WP_HPG_Edu_8_4 {c |}{col 27}{res}{space 2}-.0322033{col 39}{space 2} .0304446{col 50}{space 1}   -1.06{col 59}{space 3}0.290{col 67}{space 4}-.0918739{col 80}{space 3} .0274673
{txt}{space 11}WP_HPG_Edu_9_2 {c |}{col 27}{res}{space 2}   .00066{col 39}{space 2} .0075843{col 50}{space 1}    0.09{col 59}{space 3}0.931{col 67}{space 4}-.0142051{col 80}{space 3} .0155251
{txt}{space 11}WP_HPG_Edu_9_4 {c |}{col 27}{res}{space 2}-.0187363{col 39}{space 2} .0410171{col 50}{space 1}   -0.46{col 59}{space 3}0.648{col 67}{space 4}-.0991287{col 80}{space 3} .0616561
{txt}{space 10}WP_HPG_Edu_10_2 {c |}{col 27}{res}{space 2}-.0025698{col 39}{space 2}   .01451{col 50}{space 1}   -0.18{col 59}{space 3}0.859{col 67}{space 4}-.0310091{col 80}{space 3} .0258694
{txt}{space 10}WP_HPG_Edu_10_4 {c |}{col 27}{res}{space 2}-.0212577{col 39}{space 2} .0873836{col 50}{space 1}   -0.24{col 59}{space 3}0.808{col 67}{space 4} -.192527{col 80}{space 3} .1500117
{txt}{space 10}WP_HPG_Edu_11_2 {c |}{col 27}{res}{space 2}-.1411919{col 39}{space 2} .1306994{col 50}{space 1}   -1.08{col 59}{space 3}0.280{col 67}{space 4} -.397359{col 80}{space 3} .1149752
{txt}{space 10}WP_HPG_Edu_11_4 {c |}{col 27}{res}{space 2} .0761871{col 39}{space 2}  .232067{col 50}{space 1}    0.33{col 59}{space 3}0.743{col 67}{space 4}-.3786577{col 80}{space 3} .5310318
{txt}{space 10}WP_HPG_Edu_12_2 {c |}{col 27}{res}{space 2} -.001674{col 39}{space 2} .0099939{col 50}{space 1}   -0.17{col 59}{space 3}0.867{col 67}{space 4}-.0212618{col 80}{space 3} .0179138
{txt}{space 10}WP_HPG_Edu_12_4 {c |}{col 27}{res}{space 2}-.0212524{col 39}{space 2} .1152493{col 50}{space 1}   -0.18{col 59}{space 3}0.854{col 67}{space 4}-.2471378{col 80}{space 3} .2046331
{txt}{space 10}WP_HPG_Edu_13_2 {c |}{col 27}{res}{space 2}-.0083133{col 39}{space 2} .0080379{col 50}{space 1}   -1.03{col 59}{space 3}0.301{col 67}{space 4}-.0240672{col 80}{space 3} .0074407
{txt}{space 10}WP_HPG_Edu_13_4 {c |}{col 27}{res}{space 2} .0279845{col 39}{space 2} .0307839{col 50}{space 1}    0.91{col 59}{space 3}0.363{col 67}{space 4}-.0323511{col 80}{space 3}   .08832
{txt}{space 10}WP_HPG_Edu_14_2 {c |}{col 27}{res}{space 2}-.0042018{col 39}{space 2} .0057824{col 50}{space 1}   -0.73{col 59}{space 3}0.467{col 67}{space 4}-.0155351{col 80}{space 3} .0071315
{txt}{space 10}WP_HPG_Edu_14_4 {c |}{col 27}{res}{space 2}-.0067993{col 39}{space 2} .0375333{col 50}{space 1}   -0.18{col 59}{space 3}0.856{col 67}{space 4}-.0803635{col 80}{space 3} .0667648
{txt}{space 10}WP_HPG_Edu_15_2 {c |}{col 27}{res}{space 2} .0034197{col 39}{space 2} .0053748{col 50}{space 1}    0.64{col 59}{space 3}0.525{col 67}{space 4}-.0071147{col 80}{space 3} .0139541
{txt}{space 10}WP_HPG_Edu_15_4 {c |}{col 27}{res}{space 2} .0035127{col 39}{space 2} .0309044{col 50}{space 1}    0.11{col 59}{space 3}0.910{col 67}{space 4}-.0570591{col 80}{space 3} .0640844
{txt}{space 10}WP_HPG_Edu_16_2 {c |}{col 27}{res}{space 2} .0046894{col 39}{space 2}   .00432{col 50}{space 1}    1.09{col 59}{space 3}0.278{col 67}{space 4}-.0037777{col 80}{space 3} .0131565
{txt}{space 10}WP_HPG_Edu_16_4 {c |}{col 27}{res}{space 2} .0203135{col 39}{space 2} .0233004{col 50}{space 1}    0.87{col 59}{space 3}0.383{col 67}{space 4}-.0253547{col 80}{space 3} .0659817
{txt}{space 10}WP_HPG_Edu_17_2 {c |}{col 27}{res}{space 2}-.0028434{col 39}{space 2}  .031023{col 50}{space 1}   -0.09{col 59}{space 3}0.927{col 67}{space 4}-.0636476{col 80}{space 3} .0579608
{txt}{space 10}WP_HPG_Edu_17_4 {c |}{col 27}{res}{space 2} .1375531{col 39}{space 2}  .065427{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4}  .009318{col 80}{space 3} .2657883
{txt}{space 10}WP_HPG_Edu_18_2 {c |}{col 27}{res}{space 2} .0120602{col 39}{space 2}  .020005{col 50}{space 1}    0.60{col 59}{space 3}0.547{col 67}{space 4} -.027149{col 80}{space 3} .0512693
{txt}{space 10}WP_HPG_Edu_18_4 {c |}{col 27}{res}{space 2} .1034513{col 39}{space 2} .0911075{col 50}{space 1}    1.14{col 59}{space 3}0.256{col 67}{space 4}-.0751169{col 80}{space 3} .2820194
{txt}{space 10}WP_HPG_Edu_19_2 {c |}{col 27}{res}{space 2} .0159874{col 39}{space 2} .0170004{col 50}{space 1}    0.94{col 59}{space 3}0.347{col 67}{space 4} -.017333{col 80}{space 3} .0493078
{txt}{space 10}WP_HPG_Edu_19_4 {c |}{col 27}{res}{space 2}-.0475231{col 39}{space 2} .1015521{col 50}{space 1}   -0.47{col 59}{space 3}0.640{col 67}{space 4}-.2465624{col 80}{space 3} .1515161
{txt}{space 10}WP_HPG_Edu_20_2 {c |}{col 27}{res}{space 2} .0134448{col 39}{space 2} .0112451{col 50}{space 1}    1.20{col 59}{space 3}0.232{col 67}{space 4}-.0085952{col 80}{space 3} .0354849
{txt}{space 10}WP_HPG_Edu_20_4 {c |}{col 27}{res}{space 2}-.0132169{col 39}{space 2} .0579571{col 50}{space 1}   -0.23{col 59}{space 3}0.820{col 67}{space 4}-.1268112{col 80}{space 3} .1003774
{txt}{space 6}WP_Relative_Age2010 {c |}{col 27}{res}{space 2}-.0000156{col 39}{space 2} .0000424{col 50}{space 1}   -0.37{col 59}{space 3}0.712{col 67}{space 4}-.0000987{col 80}{space 3} .0000674
{txt}{space 7}WP_Relative_Income {c |}{col 27}{res}{space 2} 9.72e-07{col 39}{space 2} 2.72e-07{col 50}{space 1}    3.57{col 59}{space 3}0.000{col 67}{space 4} 4.39e-07{col 80}{space 3} 1.51e-06
{txt}{space 6}WP_Relative_Married {c |}{col 27}{res}{space 2} .0141135{col 39}{space 2} .0012099{col 50}{space 1}   11.67{col 59}{space 3}0.000{col 67}{space 4} .0117422{col 80}{space 3} .0164849
{txt}WP_Relative_NumberOfChi~n {c |}{col 27}{res}{space 2} .0003491{col 39}{space 2} .0005186{col 50}{space 1}    0.67{col 59}{space 3}0.501{col 67}{space 4}-.0006673{col 80}{space 3} .0013655
{txt}{space 5}WP_Relative_Employed {c |}{col 27}{res}{space 2} .0099535{col 39}{space 2} .0014841{col 50}{space 1}    6.71{col 59}{space 3}0.000{col 67}{space 4} .0070447{col 80}{space 3} .0128623
{txt}{space 5}diffIndexRel_Age2010 {c |}{col 27}{res}{space 2}-.0000792{col 39}{space 2} .0000198{col 50}{space 1}   -3.99{col 59}{space 3}0.000{col 67}{space 4}-.0001181{col 80}{space 3}-.0000403
{txt}{space 6}diffIndexRel_Income {c |}{col 27}{res}{space 2} 1.59e-06{col 39}{space 2} 1.71e-07{col 50}{space 1}    9.26{col 59}{space 3}0.000{col 67}{space 4} 1.25e-06{col 80}{space 3} 1.92e-06
{txt}{space 5}diffIndexRel_Married {c |}{col 27}{res}{space 2} .0115515{col 39}{space 2} .0003801{col 50}{space 1}   30.39{col 59}{space 3}0.000{col 67}{space 4} .0108065{col 80}{space 3} .0122966
{txt}{space 4}diffIndexRel_NumChild {c |}{col 27}{res}{space 2} .0010371{col 39}{space 2} .0001878{col 50}{space 1}    5.52{col 59}{space 3}0.000{col 67}{space 4}  .000669{col 80}{space 3} .0014052
{txt}{space 16}Voted2018 {c |}{col 27}{res}{space 2} .4162786{col 39}{space 2} .0016995{col 50}{space 1}  244.94{col 59}{space 3}0.000{col 67}{space 4} .4129475{col 80}{space 3} .4196096
{txt}{space 18}LargeWP {c |}{col 27}{res}{space 2}-.0651976{col 39}{space 2} .0113851{col 50}{space 1}   -5.73{col 59}{space 3}0.000{col 67}{space 4}-.0875121{col 80}{space 3} -.042883
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}2567.602
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0000
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}6517.204
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}1317.927
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73}  7.03
{txt}{col 42}15% maximal IV size{res}{col 73}  4.58
{txt}{col 42}20% maximal IV size{res}{col 73}  3.95
{txt}{col 42}25% maximal IV size{res}{col 73}  3.63
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}WP_Voted2018_LargeWP WP_Voted2018_SmallWP
Included instruments:{col 23}Relative_Voted2010 IndexWorkerVoted2010
{col 23}IndexWorkerVoted2010Miss 2.WP_HPG_type 3.WP_HPG_type
{col 23}4.WP_HPG_type 5.WP_HPG_type 6.WP_HPG_type 7.WP_HPG_type
{col 23}8.WP_HPG_type 9.WP_HPG_type 10.WP_HPG_type 11.WP_HPG_type
{col 23}12.WP_HPG_type 13.WP_HPG_type 14.WP_HPG_type
{col 23}15.WP_HPG_type 16.WP_HPG_type 17.WP_HPG_type
{col 23}18.WP_HPG_type 19.WP_HPG_type 20.WP_HPG_type
{col 23}21.WP_HPG_type 22.WP_HPG_type 23.WP_HPG_type
{col 23}24.WP_HPG_type 25.WP_HPG_type 26.WP_HPG_type
{col 23}27.WP_HPG_type 28.WP_HPG_type 29.WP_HPG_type
{col 23}30.WP_HPG_type 31.WP_HPG_type 32.WP_HPG_type
{col 23}33.WP_HPG_type 34.WP_HPG_type 35.WP_HPG_type
{col 23}36.WP_HPG_type 37.WP_HPG_type 38.WP_HPG_type
{col 23}39.WP_HPG_type 40.WP_HPG_type WP_HPG_Edu_1_2
{col 23}WP_HPG_Edu_1_4 WP_HPG_Edu_2_2 WP_HPG_Edu_2_4
{col 23}WP_HPG_Edu_3_2 WP_HPG_Edu_3_4 WP_HPG_Edu_4_2
{col 23}WP_HPG_Edu_4_4 WP_HPG_Edu_5_2 WP_HPG_Edu_5_4
{col 23}WP_HPG_Edu_6_2 WP_HPG_Edu_6_4 WP_HPG_Edu_7_2
{col 23}WP_HPG_Edu_7_4 WP_HPG_Edu_8_2 WP_HPG_Edu_8_4
{col 23}WP_HPG_Edu_9_2 WP_HPG_Edu_9_4 WP_HPG_Edu_10_2
{col 23}WP_HPG_Edu_10_4 WP_HPG_Edu_11_2 WP_HPG_Edu_11_4
{col 23}WP_HPG_Edu_12_2 WP_HPG_Edu_12_4 WP_HPG_Edu_13_2
{col 23}WP_HPG_Edu_13_4 WP_HPG_Edu_14_2 WP_HPG_Edu_14_4
{col 23}WP_HPG_Edu_15_2 WP_HPG_Edu_15_4 WP_HPG_Edu_16_2
{col 23}WP_HPG_Edu_16_4 WP_HPG_Edu_17_2 WP_HPG_Edu_17_4
{col 23}WP_HPG_Edu_18_2 WP_HPG_Edu_18_4 WP_HPG_Edu_19_2
{col 23}WP_HPG_Edu_19_4 WP_HPG_Edu_20_2 WP_HPG_Edu_20_4
{col 23}WP_Relative_Age2010 WP_Relative_Income WP_Relative_Married
{col 23}WP_Relative_NumberOfChildren WP_Relative_Employed
{col 23}diffIndexRel_Age2010 diffIndexRel_Income
{col 23}diffIndexRel_Married diffIndexRel_NumChild Voted2018
{col 23}LargeWP
Excluded instruments:{col 23}WP_Relative_Voted2010_SmallWP
{col 23}WP_Relative_Voted2010_LargeWP
{help ivreg2##partial:Partialled-out}:{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 19}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}       Absorbed FE{col 20}{c |} Categories{col 33} - Redundant{col 45}  = Num. Coefs{col 60}{c |}
{res}{col 1}{text}{hline 19}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text} elec_district2018{col 20}{c |}{space 1}     6002{col 33}{space 1}        0{col 45}{result}{space 1}     6002{col 59}{text} {col 60}{c |}
{res}{col 1}{text}{hline 19}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. 
. test WP_Voted2018_LargeWP == WP_Voted2018_SmallWP

{p 0 7}{space 1}{text:( 1)}{space 1} {res}WP_Voted2018_LargeWP - WP_Voted2018_SmallWP = 0{p_end}

{txt}       F(  1,298639) ={res}   32.81
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. *****************************************************************
. *********** FIGURE A2: Attentuation bias  ***********
. ***************************************************************
. 
. gen WP_Voted2018_One = WP_Voted2018 == 1
{txt}
{com}. gen WP_Relative_Voted2010_One = WP_Relative_Voted2010 == 1
{txt}
{com}. 
. keep $insample
{txt}(498,614 observations deleted)

{com}. 
. * Treatment
. hist WP_Voted2018 if WP_Voted2018 < 1, title("A)", pos(11)) ytitle("Number of obs") freq width (.03) fcolor(white) lcolor(black) xtitle("") ylabel(, angle(60) format(%2.0f))
{txt}(bin={res}33{txt}, start={res}0{txt}, width={res}.03{txt})
{res}{txt}
{com}. graph save "Stata output/treat_distr", replace
{res}{txt}file {bf:Stata output/treat_distr.gph} saved

{com}. 
. * Instrument
. hist WP_Relative_Voted2010 if WP_Relative_Voted2010 < 1, title("B)", pos(11)) ytitle("Number of obs") freq width(.03) fcolor(white) lcolor(black) xtitle("") ylabel(, angle(60) format(%2.0f))
{txt}(bin={res}34{txt}, start={res}-1.490e-08{txt}, width={res}.03{txt})
{res}{txt}
{com}. graph save "Stata output/IV_distr", replace
{res}{txt}file {bf:Stata output/IV_distr.gph} saved

{com}. 
. graph combine "Stata output/treat_distr" "Stata output/IV_distr", ycommon
{res}{txt}
{com}.  
. *** Numbers mentioned in the text in Appendix Section K ***
. 
. * How many coworkers and relatives at the workplace 
. * and the number of own relatives
. use Data/data_main_analysis_coworker_peers_18_65_years, clear
{txt}
{com}. keep $insample
{txt}(498,614 observations deleted)

{com}. gen NumRelativesOfOtherCoworkers =  WP_NumRelatives - NumberOfRelatives
{txt}
{com}. 
. sum WP_NumWorkers, det /* and subtract yourself */

                        {txt}WP_NumWorkers
{hline 61}
      Percentiles      Smallest
 1%    {res}        2              2
{txt} 5%    {res}        2              2
{txt}10%    {res}        2              2       {txt}Obs         {res}  1,585,336
{txt}25%    {res}        3              2       {txt}Sum of wgt. {res}  1,585,336

{txt}50%    {res}        8                      {txt}Mean          {res} 12.46642
                        {txt}Largest       Std. dev.     {res} 11.85436
{txt}75%    {res}       18             50
{txt}90%    {res}       32             50       {txt}Variance      {res} 140.5259
{txt}95%    {res}       39             50       {txt}Skewness      {res} 1.346717
{txt}99%    {res}       48             50       {txt}Kurtosis      {res} 3.932656
{txt}
{com}. sum NumberOfRelatives, det

                      {txt}(count) PersonId2
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        1              1
{txt}10%    {res}        1              1       {txt}Obs         {res}  1,585,336
{txt}25%    {res}        2              1       {txt}Sum of wgt. {res}  1,585,336

{txt}50%    {res}        3                      {txt}Mean          {res} 4.177174
                        {txt}Largest       Std. dev.     {res} 3.341793
{txt}75%    {res}        6             45
{txt}90%    {res}        8             45       {txt}Variance      {res} 11.16758
{txt}95%    {res}       11             46       {txt}Skewness      {res} 1.915541
{txt}99%    {res}       16             46       {txt}Kurtosis      {res} 8.669847
{txt}
{com}. sum WP_NumRelatives, det

                   {txt}(sum) NumberOfRelatives
{hline 61}
      Percentiles      Smallest
 1%    {res}        3              2
{txt} 5%    {res}        5              2
{txt}10%    {res}        7              2       {txt}Obs         {res}  1,585,336
{txt}25%    {res}       14              2       {txt}Sum of wgt. {res}  1,585,336

{txt}50%    {res}       31                      {txt}Mean          {res} 51.61666
                        {txt}Largest       Std. dev.     {res}  53.6485
{txt}75%    {res}       72            387
{txt}90%    {res}      127            387       {txt}Variance      {res} 2878.162
{txt}95%    {res}      166            387       {txt}Skewness      {res} 1.781666
{txt}99%    {res}      243            387       {txt}Kurtosis      {res} 6.331719
{txt}
{com}. sum NumRelativesOfOtherCoworkers, det

                {txt}NumRelativesOfOtherCoworkers
{hline 61}
      Percentiles      Smallest
 1%    {res}        1              1
{txt} 5%    {res}        2              1
{txt}10%    {res}        4              1       {txt}Obs         {res}  1,585,336
{txt}25%    {res}        9              1       {txt}Sum of wgt. {res}  1,585,336

{txt}50%    {res}       27                      {txt}Mean          {res} 47.43948
                        {txt}Largest       Std. dev.     {res} 53.27492
{txt}75%    {res}       67            385
{txt}90%    {res}      123            385       {txt}Variance      {res} 2838.217
{txt}95%    {res}      161            385       {txt}Skewness      {res} 1.785137
{txt}99%    {res}      237            386       {txt}Kurtosis      {res} 6.318494
{txt}
{com}. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}\\micro.intra\projekt\P0846$\P0846_Gem\carmagn\Coworker Peer effects in Voting\Accepted\Stata output/log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}12 Nov 2025, 15:11:46
{txt}{.-}
{smcl}
{txt}{sf}{ul off}